Professor Ning Zhong,  PhD

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Selected Books and Proceedings

  1. N. Zhong, J. Liu, Y.Y. Yao, Advances in Web Intelligence, Higher Education Press (in Chinese) (2011).
  2. N. Zhong, V. Callaghan, A.A. Ghorbani, B. Hu (eds.) Active Media Technology, LNCS 6890, Springer (2011).
  3. B. Hu, J. Liu, L. Chen, N. Zhong (eds.) Brain Informatics, LNAI 6889, Springer (2011).
  4. Y.Y. Yao, R. Sun, T. Poggio, J.M. Liu, N. Zhong, J. Huang (eds.) Brain Informatics, LNAI 6334, Springer (2010)
  5. N. Zhong, K. Li, S. Lu, L. Chen (eds.) Brain Informatics, LNAI 5819, Springer (2009)
  6. S. Iwata, Y. Ohsawa, S. Tsumoto, N. Zhong, Y. Shi, L. Magnani (eds.) Communications and Discoveries from Multidisciplinary Data, Studies in Computational Intelligence 123, Springer (2008)
  7. N. Zhong, J. Liu, Y.Y. Yao, J. Wu, S. Lu (eds.) Web Intelligence Meets Brain Informatics, State-of-the-Art-Survey, Springer LNCS 4845 (2007).
  8. C. Cliftion, N. Zhong, J. Liu, B. Wah, X. Wu (eds.) Proceedings of 2006 IEEE International Conference on Data Mining, IEEE Computer Society Press, California, USA (2006).
  9. K. Fischer, E. Andre, I.J. Timm, N. Zhong (eds.) Multiagent System Technologies, 4th German Conference, MATES 2006, Springer, LNAI 4196 (2006).
  10. Y. Li, M. Looi, N. Zhong (eds.) Advances in Intelligent IT, Active Media Technology 2006, IOS Press (2006).
  11. A. Skowron, R. Agrawal, M. Luck, T. Yamaguchi, P. Morizet-Mahoudeaux, J. Liu, N. Zhong (eds.) Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2005), IEEE Computer Society Press, California, USA (2005).
  12. A. Skowron, J.P. Barthes, L. Jain, R. Sun, P. Morizet-Mahoudeaux, J. Liu, N. Zhong(eds.) Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2005), IEEE Computer Society Press, California, USA (2005).
  13. N. Zhong and J. Liu (eds.) Intelligent Technologies for Information Analysis, Springer Monograph (2004).
  14. N. Zhong, Henry Tirri, Yiyu Yao, Lizhu Zhou, Jiming Liu, Nick Cercone (eds.) Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), IEEE Computer Society Press, California, USA (2004).
  15. N. Zhong, Jeffrey Bradshaw, Sankar K. Pal, Domenico Talia, Jiming Liu, Nick Cercone (eds.) Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), IEEE Computer Society Press, California, USA (2004).
  16. J.P. Li, J. Daugman, V. Wickerhauser, B. Torresani, J. Yen, N. Zhong, S. Pal, Y.Y. Tang, J. Liu (eds.) Wavelet Analysis and Its Applications, and Active Media Technology (2 Volumes) Proceedings of the International Computer Congress 2004, World Scientific (2004).
  17. N. Zhong, Z.W. Ras, S. Tsumoto, E. Suzuki(eds.) Foundations of Intelligent Systems, Lecture Notes in Artificial Intelligence 2871, Springer (2003).
  18. J. Liu, C. Liu, M. Klusch, N. Zhong, N. Cercone (eds.) Proceedings of the IEEE/WIC International Conference on Web Intelligence (WI 2003), IEEE Computer Society Press, California, USA (2003).
  19. J. Liu, B. Faltings, N. Zhong, R. Lu, T. Nishida (eds.) Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), IEEE Computer Society Press, California, USA (2003).
  20. J.P. Li, J. Liu, J. Yen, J. Zhao, N. Zhong (eds.), Active Media Technology, World Scientific (2003).
  21. N. Zhong, J. Liu, and Y.Y. Yao (eds.) Web Intelligence, Springer Monograph (2003).
  22. N. Zhong, J. Liu, and Y.Y. Yao (eds.) Special issue on Web Intelligence (WI), IEEE Computer, Vol. 35, No. 11 (November 2002)
  23. V. Kumar, S. Tsumoto, N. Zhong P.S. Yu, and X. Wu (eds.) Proceedings of 2002 IEEE International Conference on Data Mining, IEEE Computer Society Press, California, USA (2002).
  24. J.J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (eds.): Rough Sets and Current Trends in Computing, Lecture Notes in Artificial Intelligence 2475, Springer (2002).
  25. N. Zhong, Y.Y. Yao, J. Liu, and S. Ohsuga (eds.) Web Intelligence: Research and Development, Lecture Notes in Artificial Intelligence 2198, Springer (2001).
  26. N. Zhong, J. Liu, S. Ohsuga, and J. Bradshaw (eds.) Intelligent Agent Technology: Research and Development, World Scientific (2001).
  27. J. Liu, N. Zhong Y.Y. Tang, and Patrick S.P. Wang (eds.) Agent Engineering, in Machine Perception and Artificial Intelligence Series, Vol.43, World Scientific (2001).
  28. N. Zhong and A. Skowron Rough Sets in KDD: Tutorial Notes, Bulletin of International Rough Set Society, Volume 4, No. 1/2 (2000).
  29. J. Liu and N. Zhong (eds.) Intelligent Agent Technology: Systems, Methodologies, and Tools, World Scientific (1999).
  30. N. Zhong, A. Skowron, and S. Ohsuga (eds.) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, Lecture Notes in Artificial Intelligence 1711, Springer (1999).
  31. N. Zhong and L. Zhou (eds.) Methodologies for Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence 1574, Springer (1999).

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Selected Book Chapters etc.

  1. Y.Y. Yao, N. Zhong, Y. Zeng, "Information Retrieval Support Systems", Encyclopedia of Library and Information Sciences, Taylor & Francis Group (2010) 2546-2552
  2. Y.Y. Yao and N. Zhong, "Granular Computing", The Encyclopedia of Computer Science and Engineering, Vol. 3, Wiley (2009) 1446-1453.
  3. N. Zhong, J. Liu, and Y.Y. Yao, "Web Intelligence (WI)", The Encyclopedia of Computer Science and Engineering, Vol. 5, Wiley (2009) 3062-3072.
  4. J. Hu and N. Zhong, "A Multilevel Integration Approach for E-Finance Portal Development", in S. Iwata, Y. Ohsawa, S. Tsumoto, N. Zhong, Y. Shi, L. Magnani (eds.) Communications and Discoveries from Multidisciplinary Data, Studies in Computational Intelligence 123, Springer (2008) 139-156.
  5. J. Huang and N. Zhong, "A Unified Probabilistic Inference Model for Targeted Marketing", in S. Iwata, Y. Ohsawa, S. Tsumoto, N. Zhong, Y. Shi, L. Magnani (eds.) Communications and Discoveries from Multidisciplinary Data, Studies in Computational Intelligence 123, Springer (2008) 171-186.
  6. W. Li, N. Zhong, C. Liu, "Evaluating the Error Risk of Email Filters Based on ROC Curve Analysis", in S. Iwata, Y. Ohsawa, S. Tsumoto, N. Zhong, Y. Shi, L. Magnani (eds.) Communications and Discoveries from Multidisciplinary Data, Studies in Computational Intelligence 123, Springer (2008) 299-314.
  7. Y.Y. Yao, N. Zhong, Y. Zhao "A Conceptual Framework of Data Mining", T.Y. Lin, Y. Xie, A. Wasilewska, C.J. Liau (eds.) Data Mining: Foundations and Practice, Studies in Computational Intelligence, Vol. 118, Springer (2008) 501-515.
  8. N. Zhong, J. Liu, Y.Y. Yao, J. Wu, S. Lu, Y. Qin, K. Li, and B. Wah, Web Intelligence Meets Brain Informatics, N. Zhong et al (eds) Web Intelligence Meets Brain Informatics, LNCS 4845, State-of-the-Art Survey, Springer (2007) 1-31.
  9. P. Liang, N. Zhong, S. Lu, J. Liu, and Y.Y. Yao, The Neural Mechanism of Human Numerical Inductive Reasoning Process: A Combined ERP and fMRI Study, N. Zhong et al (eds) Web Intelligence Meets Brain Informatics, LNCS 4845, State-of-the-Art Survey, Springer (2007) 223-243.
  10. W. Li, N. Zhong, Y.Y. Yao, J. Liu, and C. Liu, Spam Filtering and Email-Mediated Intelligent Applications, N. Zhong et al (eds) Web Intelligence Meets Brain Informatics, LNCS 4845, State-of-the-Art Survey, Springer (2007) 382-405.
  11. Y. Li, N. Zhong, Ontology Based Web Data Mining for Information Gathering, N. Zhong et al (eds) Web Intelligence Meets Brain Informatics, LNCS 4845, State-of-the-Art Survey, Springer (2007) 406-427.
  12. J. Hu, N. Zhong, Y. Shi "Developing Grid-Based e-Finance Portals for Intelligent Risk Management and Decision Making", Y. Li, M. Looi, and N. Zhong (eds.) Advances in Intelligent IT, Active Media Technology 2006, IOS Press (2006) 58-66.
  13. N. Zhong, J. Liu "The Alchemy of Intelligent IT (iIT): Blueprint for Future of Information Technology", Intelligent Technologies for Information Analysis, Springer Monograph (2004) 1-16.
  14. N. Zhong, Y.Y. Yao, C. Liu, J. Huang, C. Ou "Data Mining for Targeted Marketing", Intelligent Technologies for Information Analysis, Springer Monograph (2004) 109-131.
  15. N. Zhong "Developing Intelligent Portals by Using WI Technologies", J.P. Li et al (eds) Wavelet Analysis and its Applications, and Active Media Technology, Vol. 2, World Scientific (2004) 555-567.
  16. J.J. Huang, C. Liu, N. Zhong, Y.Y. Yao "A Collaborative Filtering Recommendation System Based on Market Value Functions", J.P. Li et al (eds) Wavelet Analysis and its Applications, and Active Media Technology, Vol. 2, World Scientific (2004) 769-775.
  17. N. Zhong, C. Liu, J.Z. Dong., S. Ohsuga, A Hybrid Model for Rule Discovery in Data, S.K. Pal, L. Polkowski, and A. Skowron (eds.) Rough-Neuro Computing, Springer (2003) 689-722.
  18. W.B. Li, N. Zhong, C. Liu "Design and Implementation of An E-Mail Classifier", J.P. Li, J. Liu, N. Zhong, J. Yen, J. Zhao (Eds.) Active Media Technology, World Scientific (2003) 423-430.
  19. N. Zhong "Web Intelligence -- A New Paradigm for Developing E-Business Intelligence", J.P. Li, J. Liu, N. Zhong, J. Yen, J. Zhao (Eds.) Active Media Technology, World Scientific (2003) 3-17.
  20. N. Zhong "Mining Interesting Patterns in Multiple Data Sources", Vicenc Torra (ed.) Information Fusion in Data Mining, in the Studies in Fuzziness and Soft Computing Series, Vol. 123, Springer (2003) 61-77.
  21. N. Zhong, J. Liu, Y.Y. Yao "Web Intelligence (WI): A New Paradigm for Developing the Wisdom Web and Social Network Intelligence", N. Zhong, J. Liu, and Y.Y. Yao (eds) Web Intelligence, Springer Monograph (2003) 1-16.
  22. Z. Lu, Y.Y. Yao and N. Zhong "Web Log Mining", N. Zhong, J. Liu, and Y.Y. Yao (eds) Web Intelligence, Springer Monograph (2003) 173-194.
  23. Y.Y. Yao and N. Zhong "Granular Computing using Information Tables", T.Y. Lin, Y.Y. Yao, and Zadeh, L.A. (eds.) Data Mining, Rough Sets and Granular Computing Physica, Heidelberg (2002) 102-124.
  24. N. Zhong "Ontologies in Web Intelligence", L.C. Jain, Z. Chen, N. Ichalkaranje (eds.) Intelligent Agents and Their Applications, Physica (2002) 83-100.
  25. N. Zhong and S. Ohsuga Automatic Knowledge Discovery in Larger Scale Knowledge-Data Bases, in C. Leondes (ed.) The Handbook of Expert Systems, Vol. 4: Chapter 29, Academic Press (2001) 1015-1070.
  26. N. Zhong Knowledge Discovery and Data Mining, in the Encyclopedia of Microcomputers, Volume 27 (Supplement 6), Marcel Dekker (2001) 235-286 (invited survey paper).
  27. J. Liu, N. Zhong, Y.Y. Tang, and P. S. P. Wang, Introduction to Agent Engineering, in J. Liu, N. Zhong, Y.Y. Tang, and P. S. P. Wang (eds.), Agent Engineering, World Scientific (2001) 1-6.
  28. N. Zhong, C. Liu, and S. Ohsuga "Dynamically Organizing KDD Process in a Multi-Agent Based KDD System", in J. Liu, N. Zhong, Y.Y. Tang, and P. Wang (eds.) Agent Engineering, World Scientific (2001) 93-122.
  29. J.Z. Dong., N. Zhong, and S. Ohsuga, Probabilistic Rough Induction, L. Ding (eds.) New Paradigm of Knowledge Engineering by Soft Computing. FLSI Soft Computing Series, Vol. 5, World Scientific (2001) 297-324.
  30. N. Zhong, Y.Y. Yao, and Y. Kakemoto "Automatic Construction of Ontology from Text Databases", N. Ebecken and C.A. Brebbia (eds.) Data Mining, Volume 2, WIT Press (2000) 173-180.
  31. N. Zhong, J.Z. Dong, and S. Ohsuga "Data Mining: A Probabilistic Rough Set Approach", L. Polkowski and A. Skowron (eds.) Rough Sets in Knowledge Discovery, Vol. 2, In Studies in Fuzziness and Soft Computing series, Vol. 19, Physica (1998) 127-146.
  32. N. Zhong, S. Fujitsu, and S. Ohsuga "Generalization based on the Connectionist Networks Representation of a Generalization Distribution Table", H. Lu, H. Motoda, and H. Liu (eds.) KDD: Techniques and Applications, World Scientific (1997) 183-197.
  33. N. Zhong and S. Ohsuga "GLS - A Methodology for Discovering Knowledge from Databases", P.S. Glaeser and M.T.L. Millward (eds.) New Data Challenges in Our Information Age, (1992) A20-A30.
  34. N. Zhong and S. Ohsuga "Knowledge Discovery and Management in Integrated Use of KB and DB", Ohsuga et al. (eds.) Information Modelling and Knowledge Bases: Foundations, Theory and Application, IOS Press (1992) 480-495.


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Selected Papers

Web Intelligence (WI)
  1. N. Zhong, Y. Li, S.T. Wu, "Effective Pattern Discovery for Text Mining", IEEE Transactions on Knowledge and Data Engineering, 24(1) (2012) 30-44.
  2. C. Gao, J. Liu, N. Zhong, "Network Immunization with Distributed Autonomy-Oriented Entities", IEEE Transactions on Parallel and Distributed Systems, 22(7) (2011) 1222-1229.
  3. X. Tao, Y. Li, N. Zhong, "A Personalized Ontology Model for Web Information Gathering", IEEE Transactions on Knowledge and Data Engineering, 23(4) (2011) 496-511
  4. C. Gao, J. Liu, N. Zhong, "Network Immunization and Virus Propagation in Email Networks", Knowledge and Information Systems, An International Journal, Spriner, 27(2) (2011) 253-279
  5. Y. Zeng, N. Zhong, Y. Wang, Y. Qin, Z. Huang, H. Zhou, Y.Y. Yao and F. Harmelen, "User-centric Query Refinement and Processing Based on Granularity Related Strategies", Knowledge and Information Systems, An International Journal, Spriner, 27(3) (2011) 419-450
  6. J.M. Liu, H.J. Qiu, N. Zhong, "A Dynamic Trust Network for Autonomy-Oriented Partner Finding". Journal of Intelligent Information Systems, Springer, 3781 (2011) 89-118.
  7. Y. Zeng, E.Z. Zhou, Y. Wang, X. Ren, Y.L. Qin, Z.S. Huang, N. Zhong, "Research Interests: Their Dynamics, Structures and Applications in Unifying Search and Reasoning". Journal of Intelligent Information Systems, Springer, 37(1) (2011) 65-88.
  8. M.X. Gao, J.M. Liu, N. Zhong, F.R. Chen, and C.N. Liu. "Semantic Mapping from Natural Language Questions to OWL Queries". Computational Intelligence, An International Journal, Wiley, 27(2) (2011) 280-314
  9. L. Zhao, Y. Zeng, N. Zhong. A Weighted Multi-factor Algorithm for Microblog Search, AMT 2011, LNCS 6895, Springer (2011) 193-161
  10. E. Zhou, N. Zhong, Y. Li. Hot Topic Detection in Professional Blogs, AMT 2011, LNCS 6895, Springer (2011) 141-152
  11. S. Wang, Y. Zeng, N. Zhong. Ontology Extraction and Integration from Semi-structured Data, AMT 2011, LNCS 6895, Springer (2011) 39-48
  12. Y. Ma, Y. Zeng, X. Ren, N. Zhong. User Interests Modeling Based on Multi-source Personal Information Fusion and Semantic Reasoning, AMT 2011, LNCS 6895, Springer (2011) 195-205
  13. Y. Zeng, Y. Wang, Z. Huang, D. Damljanovic, N. Zhong, C. Wang: User Interests: Its Definition, Vocabulary, and Utilization in Unifying Search and Reasoning, AMT 2010, LNCS 6335, Springer (2010) 98-107
  14. X. Ren, Y. Zeng, Y. Qin, N. Zhong, Z. Huang, Y. Wang, C. Wang: Social Relation Based Search Refinement: Let Your Friends Help You!, AMT 2010, LNCS 6335, Springer (2010) 475-485
  15. N. Zhong, J.H. Ma, R.H. Huang, J.M. Liu, Y.Y. Yao, Y.X. Zhang, and J.H. Chen. Research Challenges and Perspectives on Wisdom Web of Things (W2T). Journal of Supercomputing, Springer, Volume 64, Issue 3 (2013), Page 862-882.
  16. X. Tao, Y. Li, N. Zhong, "A Knowledge-based Model Using Ontologies for Personalized Web Information Gathering", Web Intelligence and Agent Systems, An International Journal, 8(3), IOS Press, (2010) 235-254
  17. Y. Li, A. Algarni, NN. Zhong, "Mining Positive and Negative Patterns for Relevance Feature Discovery", Proc. 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'10), ACM Press (2010) 753-762.
  18. Y.Y. Yao, N. Zhong, Y. Zeng, "Information Retrieval Support Systems", Encyclopedia of Library and Information Sciences, Taylor & Francis Group (2010) 2546-2552
  19. Y. Wang, C. Wang, Y. Zeng, Z.S. Huang, V. Momtchev, B. Andersson, X. Ren, and N. Zhong, "Normalized Medline Distance and Its Utilization in Context-aware Life Science Literature Search". Tsinghua Science and Technology, Elsevier, 15 (6): 709-715, 2010.
  20. Y. Zeng, E. Zhou, Y. Qin, N. Zhong, Research Interests: Their Dynamics, Structures and Applications in Web Search Refinement, Proc. 2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI'10), IEEE Computer Society Press (2010) 639-646
  21. J. Sun, X. Yu, N. Zhong, Collaborative Web Search Utilizing Experts' Experiences, Proc. 2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI'10), IEEE Computer Society Press (2010) 120-127
  22. J. Liu, C. Gao, N. Zhong, "Autonomy-Oriented Search in Dynamic Community Networks: A Case Study in Decentralized Network Immunization", Fundamenta Informaticae, An International Journal, 99(2) IOS Press (2010) 207-226.
  23. N. Zhong, J. Liu, and Y.Y. Yao, "Web Intelligence (WI)", The Encyclopedia of Computer Science and Engineering, Vol. 5, Wiley (2009) 3062-3072.
  24. W. Li, N. Zhong, Y.Y. Yao, J. Liu, "An Operable Email Based Intelligent Personal Assistant", World Wide Web Journal, Springer, Vol. 12, No. 2 (2009) 125-147.
  25. N. Zhong, R. Guo, W. Li, "Local Search in Weighted and Directed Social Networks: A Case Study in Enron Email Networks", Proc. 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI'09), IEEE Computer Society Press (2009) 12-19.
  26. Y. Zeng, Y.Y. Yao, N. Zhong, "DBLP-SSE: A DBLP Search Support Engine". Proc. 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI'09), IEEE Computer Society Press (2009) 626-630.
  27. J. Liu, C. Gao, N. Zhong, "An Autonomy-Oriented Paradigm for Self-Organized Computing", Proc. 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'09), IEEE Computer Society Press (2009) 100-103.
  28. J. Liu, C. Gao, N. Zhong, "Virus Propagation and Immunization Strategies in Email Networks", Proc. 2009 International Conference on Advanced Data Mining and Applications (ADMA'09), LNAI 5678, Springer (2009) 222-233.
  29. J. Ji, Z. Huang, C. Liu, X. Liu, N. Zhong, An Ant Colony Optimization Algorithm for Solving the Multidimensional Knapsack Problems, Proc. 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07), IEEE Computer Society Press (2007) 10-16
  30. J. Ji, N. Zhang, C. Liu, N. Zhong, An Ant Colony Optimization Algorithm for Learning Classification Rules. Proc. 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), IEEE Computer Society Press (2006) 1034-1037.
  31. Y. Li, N. Zhong, Rough Association Rule Mining in Text Documents for Acquiring Web User Information Needs. Proc. 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), IEEE Computer Society Press (2006) 226-232.
  32. J. Liu, C. Gao, N. Zhong, "A Distributed Immunization Strategy Based on Autonomy-Oriented Computing". J. Rauch, Z.W. Ras, P. Berka, T. Elomaa (Eds.): Foundations of Intelligent Systems, LNCS 5722, Springer (2009) 503-512.
  33. M. Li, Y. Song, S. Lu, N. Zhong, "The Layout of Web Pages: A Study on the Relation between Information Forms and Locations Using Eye-Tracking". J. Liu, J. Wu, Y.Y. Yao, T. Nishida (Eds.): Active Media Technology, LNCS 5820, Springer (2009) 207-216.
  34. H. Qiu, J. Liu, N. Zhong, "A Dynamic Trust Network for Autonomy-Oriented Partner Finding". J. Liu, J. Wu, Y.Y. Yao, T. Nishida (Eds.): Active Media Technology, LNCS 5820, Springer (2009) 323-334.
  35. W. Li, Y. Cheng, N. Zhong, T.F. Liu, X. Zhang, "SpamTerminator: A Personal Anti-spam Add-In for Outlook". J. Liu, J. Wu, Y.Y. Yao, T. Nishida (Eds.): Active Media Technology (AMT 2009), LNCS 5820, Springer (2009) 376-384.
  36. Y. Zeng, Y. Wang, Z. Huang, N. Zhong, "Unifying Web-Scale Search and Reasoning from the Viewpoint of Granularity". J. Liu, J. Wu, Y.Y. Yao, T. Nishida (Eds.): Active Media Technology (AMT 2009), LNCS 5820, Springer (2009) 418-429.
  37. P. Li, Y. Zeng, S. Kotoulas, J. Urbani, N. Zhong, "The Quest for Parallel Reasoning on the Semantic Web". J. Liu, J. Wu, Y.Y. Yao, T. Nishida (Eds.): Active Media Technology (AMT 2009), LNCS 5820, Springer (2009) 430-441.
  38. J. Sun, X. Yu, R. Wang, N. Zhong, "A Model for Personalized Web-Scale Case Base Maintenance". J. Liu, J. Wu, Y.Y. Yao, T. Nishida (Eds.): Active Media Technology (AMT 2009), LNCS 5820, Springer (2009) 442-453.
  39. J. Hu and N. Zhong, "Web Farming with Clickstream", International Journal of Information Technology and Decision Making, World Scientific, Vol. 7, No. 2 (2008) 291-308.
  40. J. Hu and N. Zhong, "A Multilevel Integration Approach for E-Finance Portal Development", in S. Iwata, Y. Ohsawa, S. Tsumoto, N. Zhong, Y. Shi, L. Magnani (eds.) Communications and Discoveries from Multidisciplinary Data, Studies in Computational Intelligence 123, Springer (2008) 139-156.
  41. J. Huang and N. Zhong, "A Unified Probabilistic Inference Model for Targeted Marketing", in S. Iwata, Y. Ohsawa, S. Tsumoto, N. Zhong, Y. Shi, L. Magnani (eds.) Communications and Discoveries from Multidisciplinary Data, Studies in Computational Intelligence 123, Springer (2008) 171-186.
  42. W. Li, N. Zhong, C. Liu, "Evaluating the Error Risk of Email Filters Based on ROC Curve Analysis", in S. Iwata, Y. Ohsawa, S. Tsumoto, N. Zhong, Y. Shi, L. Magnani (eds.) Communications and Discoveries from Multidisciplinary Data, Studies in Computational Intelligence 123, Springer (2008) 299-314.
  43. J. Hu, N. Zhong, S. Lu, H. Zhou, and J. Huang, A Human-Web Interaction Based Trust Model for Trustworthy Web Software Development, Proc. 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI'08), IEEE Computer Society Press (2008) 914-917
  44. X. Tao, Y. Li, N. Zhong, and R. Nayak, An Ontology-based Framework for Knowledge Retrieval, Proc. 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI'08), IEEE Computer Society Press (2008) 510-517
  45. D. Fensel, F. Harmelen, B. Andersson, P. Brennan, H. Cunningham, E.D. Valle, F. Fischer, Z. Huang, A. Kiryakov, T.K. Lee, L. Schooler, V. Tresp, S. Wesner, M. Witbrock, N. Zhong, Towards LarKC: A Platform for Web-Scale Reasoning. Proc. the 2th IEEE International Conference on Semantic Computing (ICSC 2008), IEEE Computer Society Press (2008) 524-529
  46. N. Zhong, J. Liu, Y.Y. Yao, "Envisioning Intelligent Information Technologies from the Stand-Point of Web Intelligence", Communications of the ACM, 50(3) (2007) 89-94.
  47. N. Zhong, "Ways to Develop Human-Level Web Intelligence: A Brain Informatics Perspective", E. Franconi, M. Kifer, W. May (eds.) The Semantic Web: Research and Applications, LNCS 4519, Springer (2007) 27-36.
  48. J. Hu, N. Zhong, Y. Shi "Developing Mining-grid Centric e-Finance Portal", International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, Vol. 21, No. 4 (2007) 639-658.
  49. Y.Y. Yao, Y. Zeng, N. Zhong, X.J. Huang, "Knowledge Retrieval", Proc. 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), IEEE Computer Society Press (2007) 729-735.
  50. X. Tao, Y. Li, N. Zhong, R. Nayak, "Ontology Mining for Personalized Web Information Gathering", Proc. 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), IEEE Computer Society Press (2007) 351-358.
  51. H. Hoshino, N. Zhong, "Dynamic hybrid type mining for Intelligent e-Government", Proc. 2007 IEEE/WIC/ACM WI-IAT Workshops, IEEE Computer Society Press (2007) 26-30.
  52. Y. Li, N. Zhong, X. Zhou, and S.T. Wu "Filtering and Sophisticated Data Processing for Web Information Cathering", M. Kryszkiewicz, J.F. Peters, H. Rybinski, A. Skowron (eds.) Rough Sets and Intelligent Systems Paradigms, LNAI 4585, Springer (2007) 813-823.
  53. Y. Li and N. Zhong "Mining Rough Association from Text Documents for Web Information Gathering", Springer Transactions on Rough Sets VII, Springer LNCS 4400 (2007) 103-119.
  54. J. Ji, C. Liu, J. Yan, and N. Zhong "An Improved Bayesian Network Structure Learning Algorithm and Its Application in an Intelligent B2C Portal", Web Intelligence and Agent Systems, An International Journal, IOS Press, Vol. 5, No. 2 (2007) 127-138.
  55. Y. Zeng, Y.Y. Yao, N. Zhong "Supporting Literature Exploration with Granular Knowledge Structures", An, A., Stefanowski, J., Ramanna, S., Butz, C., Pedrycz, W., Wang, G. (Eds.) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, LNAI 4482, Springer (2007) 182-189.
  56. M. Gao, J. Liu, N. Zhong, C. Liu, and F. Chen "A Learning-Based Model for Semantic Mapping from Natural Language Questions to OWL", M. Kryszkiewicz, J.F. Peters, H. Rybinski, A. Skowron (eds.) Rough Sets and Intelligent Systems Paradigms, LNAI 4585, Springer (2007) 803-812.
  57. M. Jumi, E. Suzuki, M. Ohshima, N. Zhong, H. Yokoi and K. Takabayashi, Spiral Discovery of a Separate Prediction Model from Chronic Hepatitis Data, New Frontiers in Artificial Intelligence: Joint Proceeding of the Seventeenth and Eighteenth Annual Conferences of the Japanese Society for Artificial Intelligence, New Frontiers in Artificial Intelligence, LNAI 3609, Springer (2007) 464-473.
  58. M. Gao, J. Liu, N. Zhong "A Constraints-based Semantic Mapping Method from Natural Language Questions to OWL", Proc. IEEE Symposium on Computational Intelligence and Data Mining (CIDM'07), Honolulu, Hawaii, USA, April 1-5, 2007.
  59. W. Li, N. Zhong, J. Liu, Y.Y. Yao, C. Liu "Perspective of Applying the Global E-mail Network", Proc. 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), IEEE Computer Society Press (2006) 117-120.
  60. X. Tao, Y. Li, N. Zhong, and R. Nayak "Automatically Acquiring Training Sets for Web Information Gathering", Proc. 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), IEEE Computer Society Press (2006) 532-535.
  61. W. Li, N. Zhong, C. Liu "Combining Multiple Email Filters Based on Multivariate Statistical Analysis", Esposito, F., Z.W. Ras, Malerba, D., Semeraro, G. (eds.) Foundations of Intelligent Systems, ISMIS 2006, LNAI 4203, Springer (2006) 729-738.
  62. W. Li, N. Zhong, C. Liu "ECPIA: An Email-Centric Personal Intelligent Assistant", Wang, G., Peters, J.F., A. Skowron, Y. Yao (eds.) Rough Sets and Knowledge Technology, RSKT 2006, LNAI 4062, Springer (2006) 502-509.
  63. W. Li, N. Zhong, Y.Y. Yao, Liu, J., C. Liu "Developing Intelligent Applications in Social E-Mail Networks", Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Slowinski, R. (eds.) Rough Sets and Current Trends in Computing, RSCTC 2006, LNAI 4259, Springer (2006) 368-377.
  64. Y. Li and N. Zhong "Mining Rough Association from Text Documents", Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Slowinski, R. (eds.) Rough Sets and Current Trends in Computing, RSCTC 2006, LNAI 4259, Springer (2006) 368-377.
  65. J. Hu, N. Zhong, Y. Shi "Developing Grid-Based e-Finance Portals for Intelligent Risk Management and Decision Making", Y. Li, M. Looi, and N. Zhong (eds.) Advances in Intelligent IT, Active Media Technology 2006, IOS Press (2006) 58-66.
  66. J. Hu and N. Zhong "Organizing Multiple Data Sources for Developing Intelligent e-Business Portals", Data Mining and Knowledge Discovery, An International Journal, Springer, 12 (2-3) (2006) 127-150.
  67. Y. Li and N. Zhong "Mining Ontology for Automatically Acquiring Web User Information Needs", IEEE Transactions on Knowledge and Data Engineering, Vol. 18, No. 4 (2006) 554-568.
  68. J. Huang, N. Zhong, Y.Y. Yao, C. Liu, A General Framework of Targeted Marketing, P.S. Szczepaniak, J. Kacprzyk, A. Niewiadomski (eds.) Advances in Web Intelligence, Springer LNAI 3528 (2005) 197-203
  69. J. Ji, C. Liu, Z. Sha, N. Zhong "Online Personalized Recommendation Based on a Multilevel Customer Model", International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, Vol. 19, No. 7 (2005) 895-917.
  70. J. Hu and N. Zhong "Clickstream Data Acquisition with Web Farming", Proc. 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), IEEE Computer Society Press (2005) 257-263.
  71. Y. Su, J. Liu, N. Zhong, L. Zheng, C. Liu "A Method of Distributed Problem Solving on the Web", Proc. 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), IEEE Computer Society Press (2005) 42-45.
  72. Y. Li, B. Murphy, N. Zhong "Mining Interesting Topics for Web Information Gathering and Web Personalization", Proc. 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), IEEE Computer Society Press (2005) 305-308.
  73. Y. Zhao, Y.Y. Yao, N. Zhong "Multilevel Web Personalization", Proc. 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), IEEE Computer Society Press (2005) 649-652.
  74. Y. Su, L. Zheng, N. Zhong, C. Liu, J. Liu "Distributed Reasoning Based on Problem Solver Markup Language (PSML): A Demonstration through Extended OWL", Proc. 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05), IEEE Press (2005) 208-213.
  75. J. Hu, N. Zhong "Developing e-Business Portals with Dynamic Multi-level Workflows on the Multi-layer Grids", Proc. 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05), IEEE Press (2005) 196-201.
  76. J. Hu, N. Zhong, Behavior-Based Online Customer Segmentation, Proc. 2005 International Conference on Active Media Technology (AMT'05) (2005) 156-162.
  77. Y. Li, N. Zhong, Y.Y. Yao, Topic-Oriented Mining and Reasoning, Proc. 2005 International Conference on Active Media Technology (AMT'05) (2005) 321-326.
  78. J. Ji, J. Yan, C. Liu, N. Zhong, An Improved Bayesian Networks Learning Algorithm Based on Independence Test and MDL Scoring, Proc. 2005 International Conference on Active Media Technology (AMT'05) (2005) 315-320.
  79. Y. Li, N. Zhong "Web Data Mining and Reasoning Model", Proc. 17th Australian Joint Conference on Artificial Intelligence, LNCS 3339, Springer (2004) 1128-1134.
  80. N. Zhong, J. Liu "The Alchemy of Intelligent IT (iIT): Blueprint for Future of Information Technology", Intelligent Technologies for Information Analysis, Springer Monograph (2004) 1-16.
  81. N. Zhong, Y.Y. Yao, C. Liu, C. Ou, J. Huang "Data Mining for Targeted Marketing", Intelligent Technologies for Information Analysis, Springer Monograph (2004) 109-131.
  82. Y. Li, N. Zhong "Web Mining Model and Its Applications for Information Gathering", Knowledge-Based Systems, An International Journal, Elsevier Science Publishers (2004) 207-217.
  83. J. Ji, C. Liu, J. Yan N. Zhong "Bayesian Network Structure Learning and Its Application to Personalized Recommendation in a B2C Portal", Proc. 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), IEEE Computer Society Press (2004) 179-184.
  84. Y. Li, N. Zhong "Capturing Evalving Patterns for Ontology-Based Web Mining", Proc. 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), IEEE Computer Society Press (2004) 256-263.
  85. N. Zhong "Developing Intelligent Portals by Using WI Technologies", J.P. Li et al (eds) Wavelet Analysis and its Applications, and Active Media Technology, Vol. 2, World Scientific (2004) 555-567.
  86. J.J. Huang, C. Liu, N. Zhong, Y.Y. Yao "A Collaborative Filtering Recommendation System Based on Market Value Functions", J.P. Li et al (eds) Wavelet Analysis and its Applications, and Active Media Technology, Vol. 2, World Scientific (2004) 769-775.
  87. J. Huang, N. Zhong, C. Liu, Y.Y. Yao "Adaptive Linear Market Value Functions for Targeted Marketing", S. Tsumoto, et al (eds) Rough Sets and Current Trends in Compting, LNAI 3066, Springer (2004) 743-751.
  88. N. Zhong "Introduction to Web Intelligence", Systems, Control and Information, Journal of the Institute of Systems, Control and Information Engineers, Vol. 47, No. 12 (2003) 553-558 (invited paper).
  89. J. Liu, N. Zhong, Y. Yao, and Z.W. Ras, "The Wisdom Web: New Challenges for Web Intelligence (WI)", Special issue on Web Intelligence (WI), Journal of Intelligent Information Systems, Kluwer Academic Publishers, Vol.20, No.1 (2003) 5-9.
  90. Y. Li, and N. Zhong "Ontology-Based Web Mining Model: Representations of User Profiles", Proc. 2003 IEEE/WIC International Conference on Web Intelligence (WI'03), IEEE Computer Society Press (2003) 96-103.
  91. J. Ji, Z. Sha, C. Liu, N. Zhong "Online Recommendation Based on Customer Shopping Model in E-Commerce", Proc. 2003 IEEE/WIC International Conference on Web Intelligence (WI'03), IEEE Computer Society Press (2003) 68-74.
  92. J. Huang, C. Liu, C. Ou, Y.Y. Yao, N. Zhong "Attribute Reduction of Rough Sets in Mining Market Value Functions", Proc. 2003 IEEE/WIC International Conference on Web Intelligence (WI'03), IEEE Computer Society Press (2003) 470-473.
  93. N. Zhong, Ohara, H., Iwasaki, T., Y.Y. Yao, Using WI Technology to Develop Intelligent Enterprise Portals, Proc. International Workshop on Applications, Products and Services of Web-based Support Systems, in conjunction with 2003 IEEE/WIC International Conference on Web Intelligence/Intelligent Agent Technology (2003) 83-90.
  94. W.B. Li, N. Zhong, C. Liu "Design and Implementation of An E-Mail Classifier", J.P. Li, J. Liu, N. Zhong, J. Yen, J. Zhao (Eds.) Active Media Technology, World Scientific (2003) 423-430.
  95. N. Zhong "Web Intelligence -- A New Paradigm for Developing E-Business Intelligence", J.P. Li, J. Liu, N. Zhong, J. Yen, J. Zhao (Eds.) Active Media Technology, World Scientific (2003) 3-17.
  96. N. Zhong "Towards Web Intelligence", E. Menasalvas Ruiz, J. Segovia, P.S. Szczepaniak (Eds.): Advances in Web Intelligence, Lecture Notes in Artificial Intelligence 2663, Springer (2003) 1-14.
  97. N. Zhong, J. Liu, Y.Y. Yao "Web Intelligence (WI): A New Paradigm for Developing the Wisdom Web and Social Network Intelligence", N. Zhong, J. Liu, and Y.Y. Yao (eds) Web Intelligence, Springer Monograph (2003) 1-16.
  98. Z. Lu, Y.Y. Yao and N. Zhong "Web Log Mining", N. Zhong, J. Liu, and Y.Y. Yao (eds) Web Intelligence, Springer Monograph (2003) 173-194.
  99. N. Zhong, J. Liu, and P.P. Wang "Intelligent IT (iIT): A New Perspective on the Future of Information Technology", International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, Vol.16, No.8 (2002) 1-2.
  100. N. Zhong and, N. Hayazak "Roles of Ontologies for Web Intelligence", M-S. Hacid, Z.W. Ras, D.A. Zighed, Y. Kodratoff (eds.) Foundations of Intelligent Systems. Lecture Notes in Artificial Intelligence 2366, Springer (2002) 55-65.
  101. N. Zhong and J.Z. Dong "Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR", M.S. Chen, P.S. Yu, B. Liu (eds) Advances in Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence 2336, Springer (2002) 405-416.
  102. N. Zhong "Ontologies in Web Intelligence", L.C. Jain, Z. Chen, N. Ichalkaranje (eds.) Intelligent Agents and Their Applications, Physica (2002) 83-100.
  103. Y.Y. Yao, N. Zhong, J. Huang, C. Ou, and C. Liu "Using Market Value Functions for Targeted Marketing Data Mining" International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, Vol.16, No.8 (2002) 1117-1131.
  104. N. Zhong, J. Liu, Y. Yao "In Search of the Wisdom Web" Special issue on Web Intelligence (WI), IEEE Computer, Vol. 35, No. 11 (November 2002) 27-31.
  105. N. Zhong "Representation and Construction of Ontologies for Web Intelligence", International Journal of Foundations of Computer Science (IJFCS), World Scientific, Vol.13, No.4 (2002) 555-570.
  106. N. Zhong, T. Matsunaga, and C. Liu "A Text Mining Agents Based Architecture for Personal E-mail Filtering and Management", Proc. Third International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2002), LNCS 2412, Springer, 337-346.
  107. Y.Y. Yao, N. Zhong, J. Liu, and S. Ohsuga "Web Intelligence (WI): Research Challenges and Trends in the New Information Age", N. Zhong, Y.Y. Yao, J. Liu, and S. Ohsuga (eds) Web Intelligence: Research and Development, Lecture Notes in Artificial Intelligence 2198, Springer (2001) 1-17.
  108. Y.Y. Yao and N. Zhong "Mining Market Value Functions for Targeted Marketing", Proc. 25th IEEE International Computer Software and Applications Conference (COMPSAC'01), IEEE Computer Society Press (2001) 517-522.
  109. N. Zhong, J. Liu, Y.Y. Yao and S. Ohsuga "Web Intelligence (WI)", Proc. the 24th IEEE Computer Society International Computer Software and Applications Conference (COMPSAC 2000), a position paper for a panel on Data Mining and Web Information Systems, Taipei, Taiwan, October 25-27 (2000) 469-470.
  110. N. Zhong, Y.Y. Yao, and Y. Kakemoto "Automatic Construction of Ontology from Text Databases", N. Ebecken and C.A. Brebbia (eds.) Data Mining, Volume 2, WIT Press (2000) 173-180.
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Brain Informatics
  1. N. Zhong, J. Chen. "Constructing a New-style Conceptual Model of Brain Data for Systematic Brain Informatics", IEEE Transactions on Knowledge and Data Engineering, (in press).
  2. J. Chen, N. Zhong. "Towards the Data-Brain Driven Systematic Brain Data Analysis", IEEE Transactions on Systems, Man and Cybernetics (Part A) (in press).
  3. M. Li, N. Zhong, K. Li, S. Lu. "Functional Activation of the Parahippocampal Cortex and Amygdala During Social Statistical Information Processing", Cognitive Systems Research, Elsevier. (in press).
  4. G. Jin, K. Li, Y. Qin, N. Zhong, Z. Wang, J. Xiang, H. Zhou, Y. Hu, M. Wang, Q. Zeng. "fMRI Study in Posterior Cingulate and Adjacent Precuneus Cortex in Healthy Elderly Adults using Problem Solving Task", Journal of the Neurological Sciences, Elsevier (in press).
  5. Z. Wang, J. Liu, N. Zhong, Y. Qin, H. Zhou, and K. Li. "Changes in the Brain Intrinsic Organization in Both On-Task State and Post-Task Resting State", NeuroImage, Elsevier, 62 (2012) 394-407.
  6. J. Chen, N. Zhong (corresponding author), P. Liang. "Data-Brain Driven Systematic Human Brain Data Analysis: A Case Study in Numerical Inductive Reasoning Centric Investigation", Cognitive Systems Research, An International Journal, Elsevier, 15-16 (2012) 17-32.
  7. N. Zhong, P.P. Liang, Y. Qin, S. Lu, Y. Yang, and K. Li, "Neural Substrates of Data-driven Scientific Discovery: An fMRI Study During Performance of Number Series Completion Task", Science China: Life Sciences, Springer, 54(5) (2011) 466-473.
  8. X. Jia, P. Liang (co-first-author), J. Lu, Y. Yang, N. Zhong (corresponding author), K. Li (corresponding author). "Common and dissociable neural correlates associated with component processes of inductive reasoning". NeuroImage, Elsevier, 56 (2011) 2292-2299.
  9. G. Jin, K. Li, Y. Hu, Y. Qin, X. Wang, J. Xiang, Y. Yang, J. Lu, N. Zhong. "fMRI Study of Problem Solving in Posterior Cingulate and Adjacent Precuneus Cortex in Patients with Amnestic Mild Cognitive Impairment", Radiology, RSNA, RSNA, 261(2) (2011) 525-533.
  10. Z. Wang, J. Liu, N. Zhong, Y. Qin, H. Zhou, K. Li. Robust and Stable Small-World Topology of Brain Intrinsic Organization during Pre- and Post-Task Resting States. Brain Informatics 2011, LNAI 6889, Springer (2011) 136-147
  11. D. Liu, N. Zhong, Y. Qin. Exploring Functional Connectivity Networks in fMRI Data Using Clustering Analysis, Brain Informatics 2011, LNAI 6889, Springer (2011) 148-159
  12. H. Zhou, J. Liu, W. Jing, Y. Qin, S. Lu, Y.Y. Yao, N. Zhong. The Role of Lateral Inferior Prefrontal Cortex during Information Retrieval, Brain Informatics 2011, LNAI 6889, Springer (2011) 53-63
  13. M. Li, S. Lu, J. Li, N. Zhong. Dissociations in Limbic Lobe and Sub-lobar Contributions to Memory Encoding and Retrieval of Social Statistical Information, Brain Informatics 2011, LNAI 6889, Springer (2011) 64-75
  14. L. Qin, N. Zhong, S. Lu, M. Li, Y. Song. Emotion and Rationality in Web Information: An Eye-Tracking Study, AMT 2011, LNCS 6895, Springer (2011) 113-122
  15. M. Li, S. Lu, J. Li, N. Zhong. The Role of the Parahippocampal Cortex in Memory Encoding and Retrieval: An fMRI Study, Brain Informatics 2010, LNAI 6334, Springer (2010) 377-386
  16. D. Liu, W. Lu, N. Zhong. Clustering of fMRI Data Using Affinity Propagation, Brain Informatics 2010, LNAI 6334, Springer (2010) 399-406
  17. R. Wang, J. Xiang, N. Zhong. Interaction Between Visual Attention and Goal Control for Speeding up Human Heuristic Search, Brain Informatics 2010, LNAI 6334, Springer (2010) 407-416
  18. J. Chen, N. Zhong, R. Huang: Towards Systematic Human Brain Data Management Using a Data-Brain Based GLS-BI System, Brain Informatics 2010, LNAI 6334, Springer (2010) 365-376
  19. J. Xiang, Y. Qin, J. Chen, H. Zhou, K. Li, N. Zhong. The Role of Posterior Parietal Cortex in Problem Representation, Brain Informatics 2010, LNAI 6334, Springer (2010) 417-426
  20. P. Liang, Y. Mei, X. Jia, Y Yang, S. Lu, N. Zhong, K. Li: Brain Activation and Deactivation in Human Inductive Reasoning: An fMRI Study, Brain Informatics 2010, LNAI 6334, Springer (2010) 387-398
  21. H. Zhou, J. Liu, W. Jing, Y. Qin, S. Lu, Y.Y. Yao, N. Zhong. Basic Level Advantage and Its Switching During Information Retrieval: An fMRI Study, Brain Informatics 2010, LNAI 6334, Springer (2010) 437-436
  22. N. Zhong, J. Chen, Data Brain Driven Multiaspect Mining Process Planning, Proc. 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), IEEE Press (2010) IJCNN 1490-1493
  23. Z. Wang, J. Liu, N. Zhong, H. Zhou, Y. Qin, Two Perspectives to Investigate the Intrinsic Organization of the Dynamic and Ongoing Spontaneous Brain Activity in Humans, Proc. 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), IEEE Press (2010) IJCNN 4120-4123
  24. Y. Mei, P.P. Liang, S.F. Lu, N. Zhong, Y.H. Yang, K.C. Li "Neural Mechanism of Figural Inductive Reasoning: An fMRI Study", Acta Psychologica Sinica, 42(4) (2010) 496-506 (in Chinese).
  25. P. Liang, N. Zhong, S. Lu, and J. Liu, "ERP Characteristics of Sentential Inductive Reasoning in Time and Frequency Domain", Cognitive Systems Research, An Interdisciplinary Journal, 11(1) Elsevier (2010) 67-73.
  26. J. Yang, N. Zhong, P. Liang, J. Wang, Y.Y. Yao, and S. Lu, "Brain Activation Detection by Neighborhood One-class SVM", Cognitive Systems Research, An Interdisciplinary Journal, 11(1) Elsevier (2010) 16-24.
  27. S. Motomura, N. Zhong, "Peculiarity Oriented Mining for Multi-aspect ERP Brain Wave Data Analysis", Transactions of the Japanese Society for Artificial Intelligence, Vol. 25, No. 4 (2010) 530-539 (in Japanese).
  28. S. Motomura and N. Zhong, "Multi-aspect Data Analysis for Investigating Human Computation Mechanism", Cognitive Systems Research, An Interdisciplinary Journal, 11(1) Elsevier (2010) 3-15.
  29. N. Zhong and S. Motomura, "Agent-Enriched Data Mining: A Case Study in Brain Informatics", IEEE Intelliegnt Systems Vol. 24, Issue 3 (May/June 2009) 38-45.
  30. Y.H. Yang, P. Liang, S.F. Lu, K.C. Li, and N. Zhong. "The Role of the DLPFC in Inductive Reasoning of MCI Patient and Normal Aging: An fMRI Study", Science in China Series C: Life Sciences, 39(7) (2009) 711-716 (in Chinese).
  31. N. Zhong, P.P. Liang, Y. Qin, S. Lu, Y. Yang, and Kuncheng Li, "Neural Substrates of Data-driven Scientific Discovery: An fMRI Study During Performance of Number Series Completion Task", Science in China Series C: Life Sciences, 39(3) (2009) 1-8 (in Chinese).
  32. M. Li, S.F. Lu, N. Zhong, Neural Differences of Text and Figure during Representation and Processing on Human Brain: an fMRI study, Proc. 2009 IEEE/CME International Conference on Complex Medical Engineering, (2009)
  33. X. Jia, S.F. Lu, N. Zhong, Y.Y. Yao, K. Li, and Y. Yang, Common and Distinct Neural Substrates of Forward-chaining and Backward-chaining Syllogistic Reasoning, Proc. 2009 IEEE/CME International Conference on Complex Medical Engineering, (2009)
  34. J. Chen and N. Zhong, Data-Brain Modeling Based on Brain Informatics Methodology, Proc. 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI'08), IEEE Computer Society Press (2008) 41-47
  35. S, Motomura, Y. Ojima, N. Zhong, "EEG/ERP Meets ACT-R: A Case Study for Investigating Human Computation Mechanism", Proc. 2009 International Conference on Brain Informatics (BI 2009), LNAI 5819, Springer (2009) 63-73.
  36. J. Chen, N. Zhong, "Data-Brain Modeling for Systematic Brain Informatics", Proc. 2009 International Conference on Brain Informatics (BI 2009), LNAI 5819, Springer (2009) 182-193.
  37. Y. Zhu, N. Zhong, Y. Xiong, "Data Explosion, Data Nature and Dataology", Proc. 2009 International Conference on Brain Informatics (BI 2009), LNAI 5819, Springer (2009) 147-158.
  38. X. Jia, S. Lu, N. Zhong, Y.Y. Yao "Figural Effects in Syllogistic Reasoning with Evaluation Paradigm: An Eye-Movement Study". Proc. 2009 International Conference on Brain Informatics (BI 2009), LNAI 5819, Springer (2009) 106-114
  39. J. Xiang, J. Chen, H. Zhou, Y. Qin, K. Li, N. Zhong, "Using SVM to Predict High-Level Cognition from fMRI Data: A Case Study of 4*4 Sudoku Solving". Proc. 2009 International Conference on Brain Informatics (BI 2009), LNAI 5819, Springer (2009) 171-181
  40. R. Wang, J. Xiang, H. Zhou, Y. Qin, N. Zhong, "Simulating Human Heuristic Problem Solving: A Study by Combining ACT-R and fMRI Brain Image". Proc. 2009 International Conference on Brain Informatics (BI 2009), LNAI 5819, Springer (2009) 53-62
  41. M. Li, J. Yin, S. Lu, N. Zhong, "The Effect of Information Forms and Floating Advertisements for Visual Search on Web Pages: An Eye-Tracking Study". Proc. 2009 International Conference on Brain Informatics (BI 2009), LNAI 5819, Springer (2009) 96-105
  42. S. Motomura, A. Hara, N. Zhong, S. Lu, POM Centric Multi-aspect Data Analysis for Investigating Human Problem Solving Function, M.Z. Ras, S. Tsumoto, D. Zighed (eds.) Mining Complex Data, MCD 2007, LNAI 4944, Springer (2008) 252-264.
  43. N. Zhong, "Actionable Knowledge Discovery: A Brain Informatics Perspective", Special Trends and Controversies department on Domain-Driven, Actionable Knowledge Discovery, IEEE Intelligent Systems, (2007 July/August) 85-86.
  44. Liang, P., N. Zhong, J.L. Wu, S. Lu, J. Liu, Y.Y. Yao "Time Dissociative Characteristics of Numerical Inductive Reasoning: Behavioral and ERP Evidence", Proc. 2007 International Joint Conference on Neural Networks (IJCNN'07), IEEE Press (2007) 1247-1254.
  45. P.P. Liang, N. Zhong, S.F. Lu, Y.Y. Yao, J. Liu, "The Time Course and Source Localization of Human Inductive Strength Judgment: An ERP Study", Proc. 2007 IEEE/WIC/ACM WI-IAT Workshops, IEEE Computer Society Press (2007) 43-46.
  46. J. Yang, N. Zhong, P.P. Liang, J. Wang, Y.Y. Yao, S.F. Lu, "Brain Activation Detection by Neighborhood One-class SVM", Proc. 2007 IEEE/WIC/ACM WI-IAT Workshops, IEEE Computer Society Press (2007) 47-51.
  47. S. Motomura, A. Hara, N. Zhong, S. Lu, "An Investigation of Human Problem Solving System: Computation as an Example", M. Kryszkiewicz, J.F. Peters, H. Rybinski, A. Skowron (eds.) Rough Sets and Intelligent Systems Paradigms, LNAI 4585, Springer (2007) 824-834.
  48. N. Zhong, S. Motomura, "WI Based Multi-Aspect Data Analysis in a Brain Informatics Portal", V. Gorodetsky, C. Zhang, V.A. Skormin, L. Cao (eds.) Autonomous Intelligent Systems: Agents and Data Mining, LNAI 4476, Springer (2007) 46-59.
  49. N. Zhong "Impending Brain Informatics Research from Web Intelligence Perspective", International Journal of Information Technology and Decision Making, World Scientific, Vol. 5, No. 4 (2006) 713-727.
  50. S. Motomura, A. Hara, N. Zhong, J.L. Wu, Multi-aspect ERP Data Analysis for Understanding Human Calculation Related Information Processing Mechanism, Proc. IEEE/WIC/ACM WI-IAT 2006 Workshop on Granular Computing (GrC) and Brain Informatics (BI) for WI, IEEE Computer Society Press (2006) 481-485.
  51. N. Zhong, How to Make Web Intelligence (WI) meets Brain Informatics (BI) Successfully? Proc. IEEE 30th Annual International Computer Software and Applications Conference (COMPSAC'06), Chicago, USA, September 17-21, 2006, IEEE Computer Society Press (2006) 24-25 (Panel List)
  52. N. Zhong, Impending Revolution in Web Intelligence (WI) and Brain Informatics (BI), Proc. IEEE International Conference on Granular Computing (GrC'06), IEEE Press, Atlanta, USA, May 10-12 (2006) 31 (Invited Talk)
  53. N. Zhong, Impending Web Intelligence (WI) and Brain Informatics (BI) Research. Yang, Q., Webb, G. (Eds.) PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006 Proceedings, LNAI 4099, Springer (2006) 2-4.
  54. N. Zhong, Web Intelligence Meets Brain Informatics: An Impending Revolution in WI and Brain Sciences P.S. Szczepaniak, J. Kacprzyk, A. Niewiadomski (eds.) Advances in Web Intelligence, Springer LNAI 3528 (2005) 23-25
  55. S. Motomura, N. Zhong, J. Wu, Peculiarity Oriented Mining in EEG Human Brain Wave Data, Proc. First International Conference on Complex Medical Engineering (CME'05) (2005) 397-402.
  56. S.-F. Lu, J. Wu, N. Zhong, C. Liu, Converting Tactile Information into the Vision Representation in Intra-parietal Sulcus of the Human Brain: An fMRI Study, Proc. First International Conference on Complex Medical Engineering (CME'05) (2005) 403-407.
  57. J. Liu, N. Zhong, Y.Y. Yao, J. Wu, Web Intelligence Meets Immunology Proc. First International Conference on Complex Medical Engineering (CME'05) (2005) 387-390.
  58. N. Zhong, J. Liu, Y.Y. Yao, J. Wu, Web Intelligence (WI) Meets Brain Informatics (BI), Proc. First International Conference on Complex Medical Engineering (CME'05) (2005) 391-396.
  59. N. Zhong "Multi-aspect Data Analysis in Brain Informatics", S.K. Pal et al. (eds) PReMI 2005, LNCS 3776, Springer (2005) 98-107.
  60. N. Zhong "Building a Brain-Informatics Portal on the Wisdom Web with a Multi-Layer Grid: A New Challenge for Web Intelligence Research", V. Torra et al. (eds) Modeling Decisions for Artificial Intelligence, LNAI 3558, Springer (2005) 24-35.
  61. N. Zhong, J. Hu, S. Motomura, J. Wu, C. Liu "Building a Data Mining Grid for Multiple Human Brain Data Analysis", Computational Intelligence, An International Journal, Vol.21, No.2, Blackwell Publishers (2005) 177-196.
  62. N. Zhong, S. Motomura, J.L. Wu "Peculiarity Oriented Multi-Aspect Brain Data Analysis for Studying Human Multi-Perception Mechanism", Proc. SAINT 2005 Workshops (Workshop 8: Computer Intelligence for Exabyte Scale Data Explosion), IEEE Computer Society Press, (2005) 306-309.
  63. N. Zhong, J.L. Wu, A. Nakamaru, M. Ohshima, H. Mizuhara "Peculiarity Oriented fMRI Brain Data Analysis for Studying Human Multi-Perception Mechanism", Cognitive Systems Research, An International Journal, Elsevier (2004) 241-256.

Top
Granular Computing (GrC) and KDD Fundamental
  1. Y.Y. Yao and N. Zhong, "Granular Computing", The Encyclopedia of Computer Science and Engineering, Vol. 3, Wiley (2009) 1446-1453.
  2. Y.Y. Yao and N. Zhong, "Granular Computing for Web Intelligence", Ras, Zbigniew W., Dardzinska, Agnieszka (Eds.) Advances in Data Management, Studies in Computational Intelligence, Vol. 223, Springer (2009) 89-102.
  3. Y.Y. Yao, N. Zhong, Y. Zhao "A Conceptual Framework of Data Mining", T.Y. Lin, Y. Xie, A. Wasilewska, C.J. Liau (eds.) Data Mining: Foundations and Practice, Studies in Computational Intelligence, Vol. 118, Springer (2008) 501-515.
  4. M. Ohshima, N. Zhong, H. Yokoi, Y.Y. Yao "Analyzing Hepatitis Data Using Ordered Information", Proc. 2005 IEEE International Conference on Granular Computing (GrC'05), IEEE Press (2005) 599-604.
  5. Y. Li, N. Zhong "Interpretations of Association Rules by Granular Computing", Proc. 2003 IEEE International Conference on Data Mining (IEEE ICDM'03), IEEE Computer Society Press (2003) 593-596.
  6. Y.Y. Yao, C.J. Liau, N. Zhong "Granular Computing based on Rough Sets, Quotient Space Theory, and Belief Functions", Proc. 14th International Symposium on Methodologies for Intelligent Systems (ISMIS'03), Lecture Notes in Artificial Intelligence 2871, Springer (2003) 152-159.
  7. Y.Y. Yao and N. Zhong "Granular Computing using Information Tables", T.Y. Lin, Y.Y. Yao, and Zadeh, L.A. (eds.) Data Mining, Rough Sets and Granular Computing Physica, Heidelberg (2002) 102-124.
  8. Y. Sai, Y.Y. Yao, and N. Zhong "Data Analysis and Mining in Ordered Information Tables", Proc. 2001 IEEE International Conference on Data Mining (IEEE ICDM'01), IEEE Computer Society Press (2001) 497-504.
  9. Y.Y. Yao and N. Zhong "On Association, Similarity and Dependency of Attributes ", Terano, T., Liu, H., and Chen A.L.P. (eds.) Knowledge Discovery and Data Mining: Current Issues and New Applications, LNAI 1805, Springer (2000) 138-141.
  10. C. Liu and N. Zhong "Granular Computing and Imperfect Data in ILP", Proc. Fifth Joint Conference on Information Sciences (JCIS-2000), Invited Session on Granular Computing and Data Mining (GrC-DM) in The Seventh International Conference on Fuzzy Theory and Technology (FT&T 2000) (2000) 170-173.
  11. N. Zhong "Multi-Database Mining: a Granular Computing Approach", Proc. Fifth Joint Conference on Information Sciences (JCIS-2000), Invited Session on Granular Computing and Data Mining (GrC-DM) in The Seventh International Conference on Fuzzy Theory and Technology (FT&T 2000) (2000) 198-201.
  12. Y.Y. Yao and N. Zhong "Potential Applications of Granular Computing in Knowledge Discovery and Data Mining", Proc. The 5th International Conference on Information Systems Analysis and Synthesis (IASA'99), edited in the invited session on Intelligent Data Mining and Knowledge Discovery (1999) 573-580.
  13. Y.Y. Yao and N. Zhong "An Analysis of Quantitative Measures Associated with Rules", N. Zhong and L. Zhou (eds.) Methodologies for Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence 1574, Springer (1999) 479-488.
  14. T.Y. Lin, N. Zhong, J.Z. Dong, and S. Ohsuga "Frameworks for Mining Binary Relations in Data", L. Polkowski and A. Skowron (eds.) Rough Sets and Current Trends in Computing, LNAI 1424, Springer (1998) 387-393.

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Interestingness, Peculiarity-Oriented Mining, and Multi-Database Mining
  1. J. Yang, N. Zhong, Y.Y. Yao, J. Wang, "Record-Level Peculiarity Based Data Analysis and Classifications", Knowledge and Information Systems, An International Journal, Spriner Spriner, 28(1) (2011) 149-173.
  2. J. Yang, N. Zhong, Y. Yao, J. Wang, "Peculiarity Analysis for Classifications", Proc. 9th IEEE International Conference on Data Mining (ICDM'09), IEEE Computer Society Press (2009) 607-616.
  3. M. Ohshima, N. Zhong, J.Z. Dong, H. Yokoi "Multi-Aspect Mining in Hepatitis Data", International Journal of Information Technology and Decision Making, World Scientific, 8(3) (2009) 445-472.
  4. J. Yang, N. Zhong, Y.Y. Yao, J. Wang ``Local Peculiarity Factor and Its Application in Outlier Detection'', Proc. the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08) (2008) 776-784.
  5. M. Jumi, M. Ohshima, N. Zhong, H. Yokoi, K. Takabayashi, E. Suzuki, "Spiral Removal of Exceptional Patients for Mining Chronic Hepatitis Data", New Generation Computing, an International Journal, Ohmsha and Springer, Vol. 25, No. 3 (2007) 223-234.
  6. M. Ohshima N. Zhong, Y.Y. Yao, C. Liu "Relational Peculiarity Oriented Mining", Data Mining and Knowledge Discovery, an International Journal, Springer, 15(2) (2007) 249-273.
  7. M. Ohshima, N. Zhong, "Record Based Peculiarity Oriented Mining", Transactions of the Japanese Society for Artificial Intelligence, Vol. 22, No. 1 (2007) 1-9 (in Japanese).
  8. M. Ohshima, N. Zhong, Y.Y. Yao, S. Murata "Peculiarity Oriented Analysis in Multi-people Tracking Images", H. Dai et al (eds) Advances in Knowledge Discovery and Data Mining (PAKDD'04), LNAI 3056, Springer (2004) 508-518.
  9. N. Zhong, C. Liu, Y.Y. Yao, M. Ohshima, M. Huang, J.J. Huang "Relational Peculiarity Oriented Mining", Proc. Fourth IEEE International Conference on Data Mining (ICDM'04), IEEE Computer Society Press (2004) 575-578.
  10. Y.Y. Yao, N. Zhong, Y. Zhao, A Three-layered Conceptual Framework of Data Mining, Proc. IEEE ICDM'04 Workshop on the Foundation of Data Mining and Discovery (2004).
  11. N. Zhong, Y.Y. Yao, M. Ohshima "Peculiarity Oriented Multi-Database Mining", IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 4 (2003) 952-960.
  12. M. Ohshima, T. Okuno, N. Zhong, H. Yokoi "Multi-Aspect Mining for Hepatitis Data Analysis", Proc. the 2nd International Workshop on Active Mining, in conjunction with ISMIS'03 (2003) 74-84.
  13. N. Zhong, A. Nakamaru, M. Ohshima, J.L. Wu, H. Mizuhara "Peculiarity Oriented Mining in Multiple Human Brain Data", Proc. Fourth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'03), Lecture Notes in Computer Science 2690, Springer (2003) 742-750.
  14. N. Zhong "Mining Interesting Patterns in Multiple Data Sources", Vicenc Torra (ed.) Information Fusion in Data Mining, in the Studies in Fuzziness and Soft Computing Series, Vol. 123, Springer (2003) 61-77.
  15. Y.Y. Yao and N. Zhong "An Analysis of Peculiarity Oriented Data Mining", Proc. IEEE ICDM'02 Workshop on the Foundation of Data Mining and Discovery, (2002) 185-188.
  16. N. Zhong, Y.Y. Yao, M. Ohshima, and S. Ohsuga "Interestingness, Peculiarity, and Multi-Database Mining", Proc. 2001 IEEE International Conference on Data Mining (IEEE ICDM'01), IEEE Computer Society Press (2001) 566-573.
  17. J. Wu and N. Zhong "An Investigation on Human Multi-Perception Mechanism by Cooperatively Using Psychometrics and Data Mining Techniques", Proc. 5th World Multi-Conference on Systemics, Cybernetics, and Informatics (SCI-01), in Invited Session on Multimedia Information: Managing and Processing, Vol. X (2001) 285-290.
  18. N. Zhong, M. Ohshima, and S. Ohsuga "Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-acid Data", D. Cheung, G.J. Williams, Q. Li (Eds) Advances in Knowledge Discovery and Data Mining, LNAI 2035, Springer (2001) 260-269.
  19. N. Zhong, S. Yamashita, and S. Ohsuga "Mining Surprising Rules from Multiple Databases", Proc. 4th Joint Conference on Information Sciences (JCIS'98) Vol. 2 (1998) 331-334.
  20. N. Zhong and S. Yamashita "A Way of Multi-Database Mining", Proc. the IASTED International Conference on Artificial Intelligence and Soft Computing (ASC'98), IASTED/ACTA Press (1998) 384-387.

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KDD Process and KDD Agents
  1. N. Zhong, Y. Matsui, T. Okuno, C. Liu "Framework of A Multi-Agent KDD System", Proc. Third International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2002), LNCS 2412, Springer, 329-336.
  2. N. Zhong and A. Skowron "A Rough Sets Based Knowledge Discovery Process", International Journal of Applied Mathematics and Computer Science, in special issue on Rough Sets and Their Applications, Vol. 11, No. 3, Technical University Press, Zielona Gora, Poland (2001) 101-117.
  3. N. Zhong, C. Liu, and S. Ohsuga "Dynamically Organizing KDD Processes", in Special Issue on Intelligent Agent Technology, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 15, No. 3, World Scientific (2001) 451-473.
  4. C. Liu and N. Zhong "A Multi-Agent Based Architecture for Distributed KDD Process", Z.W. Ras and S. Ohsuga (eds.) Foundations of Intelligent Systems. LNAI 1932, Springer (2000) 591-600.
  5. N. Zhong, J.Z. Dong, and S. Ohsuga "A Rough Sets Based Knowledge Discovery Process", Proc. Fourth Asian Fuzzy Systems Symposium, Special Session on Intelligent Information Systems: Approaches by Fuzzy Sets and Rough Sets (2000) 415-420.
  6. C. Liu and N. Zhong "Handling KDD Process Iteration by Integration of Planning and Controlling", Proc. 1998 IEEE International Conference on Systems, Man, and Cybernetics (SMC'98), IEEE Press (1998) 411-416.
  7. N. Zhong, C. Liu, Y. Kakemoto, and S. Ohsuga "Handling KDD Process Changes by Incremental Replanning", J. Zytkow and M. Quafafou (eds.) Principles of Data Mining and Knowledge Discovery, LNAI 1510, Springer (1998) 111-120.
  8. N. Zhong, C. Liu, and S. Ohsuga "A Way of Increasing both Autonomy and Versatility of a KDD System", Z.W. Ras and A. Skowron (eds.) Foundations of Intelligent Systems, LNAI 1325, Springer (1997) 94-105.
  9. N. Zhong, C. Liu, Y. Kakemoto, and S. Ohsuga "KDD Process Planning", Proc. Third International Conference on Knowledge Discovery and Data Mining (KDD-97), AAAI Press (1997) 291-294.
  10. C. Liu, N. Zhong, Y. Kakemoto, and S. Ohsuga "Planning and Replanning of the KDD Process", Proc. the IASTED International Conference on Artificial Intelligence and Soft Computing (ASC'97), IASTED/ACTA Press (1997) 339-342. o
  11. N. Zhong, S. Ohsuga, C. Liu, Y. Kakemoto, and X. Zhang "On Meta Levels of an Organized Society of KDD Agents.", J. Komorowski and J. Zytkow (eds.) Principles of Data Mining and Knowledge Discovery, LNAI 1263, Springer (1997) 367-375.
  12. N. Zhong and S. Ohsuga "A Multi-Phase Process for Discovering, Managing and Refining Strong Functional Relationships Hidden in Databases", Transactions of Information Processing Society of Japan, Vol.38, No.4 (1997) 698-706.
  13. N. Zhong, Y. Kakemoto, and S. Ohsuga "An Organized Society of Autonomous Knowledge Discovery Agents", Peter Kandzia and Matthias Klusch (eds.) Cooperative Information Agents, LNAI 1202, Springer (1997) 183-194.
  14. T. Onabuta, Y. Kakemoto and N. Zhong "The Self-Organized Information Catalog Sapata: Its Goal, Architecture and Current Results", Proc. International Workshop on Distributed Artificial Intelligence and Multi-Agent Systems (DAIMAS'97) (1997) 174-181.
  15. N. Zhong and S. Ohsuga "A Multi-Step Process for Discovering, Managing and Refining Strong Functional Relations Hidden in Databases", Z.W. Ras and M.Michalewicz (eds.) Foundations of Intelligent Systems, LNAI 1079, Springer (1996) 501-510.
  16. N. Zhong and S. Ohsuga "Toward A Multi-Strategy and Cooperative Discovery System", Proc. First International Conference on Knowledge Discovery and Data Mining (KDD-95), AAAI Press (1995) 337-342.
  17. N. Zhong and S. Ohsuga "The GLS Discovery System: Its Goal, Architecture and Current Results", Z.W. Ras and M.Zemankova (eds.) Methodologies for Intelligent Systems, LNAI 869, Springer (1994) 233-244.
  18. E. Suzuki, N. Zhong, H. Yokoi, and K. Takabayashi, Spiral Mining of Chronic Hepatitis Data, Proc. ECML/PKDD-2004 Discovery Challenge (2004) 185-196.
  19. N. Zhong and S. Ohsuga "GLS - A Methodology for Discovering Knowledge from Databases", P.S. Glaeser and M.T.L. Millward (eds.) New Data Challenges in Our Information Age, (1992) A20-A30.

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Hybrid Approach for Rule Discovery
  1. L. Zheng, C. Liu, J. Dong, N. Zhong "Generating Numerical Constraints in CILP", International Journal of Pattern Recognition and Artificial Intelligence, Vol. 19, No. 1, World Scientific (2005) 91-108.
  2. E. Suzuki, T. Watanabe, Y. Yamada, M. Jumi, M. Ohshima, N. Zhong, H. Yokoi, K. Takabayashi "Spiral Active-Mining Based on Exception Discovery", Journal of Japanese Society for Artificial Intelligence, Vol. 20, No. 3 (2005) 188-195.
  3. M. Ohshima, T. Okuno, Y. Fujita, N. Zhong, J. Dong, H. Yokoi "Spiral Multi-Aspect Mining for Hepatitis Data Analysis", S. Tsumoto and H. Motoda (eds.) Active Mining, LNAI 3430, Springer (2005) 213-238.
  4. Y. Yao, N. Zhong, J. Liu, "Editorial Special Issue on Web Intelligence", Knowledge-Based Systems, An International Journal, Elsevier, Vol. 17, Nos. 5-6 (2004) 175-177
  5. N. Zhong and J.Z. Dong "Meningitis Data Mining by Cooperatively Using GDT-RS and RSBR", Pattern Recognition Letters, Elsevier Vol.24, No.6 (2003) 887-894.
  6. X. Yang, C. Liu, N. Zhong "First-Order Rules Mining Guided by Information Gain", Proc. 14th International Symposium on Methodologies for Intelligent Systems (ISMIS'03), Lecture Notes in Artificial Intelligence 2871, Springer (2003) 463-467.
  7. L. Zheng, C. Liu, J. Dong, N. Zhong "A New Approach to Constraint Inductive Logic Programming", Proc. 14th International Symposium on Methodologies for Intelligent Systems (ISMIS'03), Lecture Notes in Artificial Intelligence 2871, Springer (2003) 357-364.
  8. N. Zhong, Y.Y. Yao, J.Z. Dong, S. Ohsuga "Gastric Cancer Data Mining with Ordered Information", J.J. Alpigini et al (eds.) Rough Sets and Current Trends in Computing, Lecture Notes in Artificial Intelligence 2475, Springer (2002) 467-478.
  9. N. Zhong "Rough Sets in Knowledge Discovery and Data Mining", Journal of Japan Society for Fuzzy Theory and Systems, Vol. 13, No. 6 (2001) 581-591
  10. N. Zhong, J.Z. Dong, C. Liu, and S. Ohsuga "A Hybrid Model for Rule Discovery in Data", Knowledge Based Systems, An International Journal, Elsevier Science Publishers, Vol. 14, No. 7 (2001) 397-412
  11. N. Zhong, J.Z. Dong, and S. Ohsuga "Using Rough Sets with Heuristics to Feature Selection", Journal of Intelligent Information Systems, Vol. 16, No. 3, Kluwer Academic Publishers (2001) 199-214.
  12. C. Liu and N. Zhong "Rough Problem Settings for ILP Dealing with Imperfect Data", in Special Issue on "Rough Sets, Data Mining, and Granular Computing", Computational Intelligence, An International Journal, Vol.17, No.3, Blackwell Publishers (2001) 446-459.
  13. N. Zhong, J.Z. Dong, and S. Ohsuga "Rule Discovery by Soft Induction Techniques", in Special Issue on Rough-Neuro Computing, Neurocomputing, An International Journal, Vol. 36 (1-4) Elsevier Science Publishers (2001) 171-204.
  14. N. Zhong, J.Z. Dong, and S. Ohsuga "Using Background Knowledge as a Bias to Control the Rule Discovery Process", Djamel A. Zighed, Jan Komorowski, and J. Zytkow (eds.) Principles of Data Mining and Knowledge Discovery, LNAI 1910, Springer (2000) 691-698.
  15. N. Zhong, J.Z. Dong, and S. Ohsuga "Rule Discovery in Medical Data by GDT-RS", Special Issue on Comparison and Evaluation of KDD Methods with Common Medical Datasets, Journal of Japanese Society for Artificial Intelligence, Vol. 15, No. 5 (2000) 774-781 (in Japanese).
  16. N. Zhong, J.Z. Dong, and S. Ohsuga "A Hybrid Approach to Rule Discovery in Databases", Information Sciences, An International Journal, North-Holland, Vol.126, No.1-4 (2000) 99-127.
  17. J.Z. Dong, N. Zhong, and S. Ohsuga "Rule Discovery by Probabilistic Rough Induction", Journal of Japanese Society for Artificial Intelligence, Vol.15, No.2 (2000) 276-286.
  18. C. Liu and N. Zhong "Rough Problem Settings for Inductive Logic Programming", N. Zhong, A. Skowron, and S. Ohsuga (eds.) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, LNAI 1711, Springer (1999) 168-177.
  19. J.Z. Dong, N. Zhong, and S. Ohsuga "Using Rough Sets with Heuristics to Feature Selection", N. Zhong, A. Skowron, and S. Ohsuga (eds.) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, LNAI 1711, Springer (1999) 178-187.
  20. J.Z. Dong, N. Zhong, and S. Ohsuga "Probabilistic Rough Induction: The GDT-RS Methodology and Algorithms", Z.W. Ras and A. Skowron (eds.) Foundations of Intelligent Systems. Lecture Notes in Artificial Intelligence 1609, Springer (1999) 621-629.
  21. N. Zhong, J.Z. Dong, and S. Ohsuga "Data Mining: A Probabilistic Rough Set Approach", L. Polkowski and A. Skowron (eds.) Rough Sets in Knowledge Discovery, Vol. 2, In Studies in Fuzziness and Soft Computing series, Vol. 19, Physica (1998) 127-146.
  22. N. Zhong, J.Z. Dong, S. Fujitsu, and S. Ohsuga "Soft Techniques to Rule Discovery in Data", Transactions of Information Processing Society of Japan, Vol. 39, No. 9 (1998) 2581-2592.
  23. N. Zhong, J.Z. Dong, and S. Ohsuga "Soft Techniques to Data Mining", L. Polkowski and A. Skowron (eds.) Rough Stes and Current Trends in Computing, LNAI 1424, Springer (1998) 231-238.
  24. N. Zhong, J.Z. Dong, S. Ohsuga, and T.Y. Lin "An Incremental, Probabilistic Rough Set Approach to Rule Discovery", Proc. 1998 IEEE World Congress on Computational Intelligence (WCCI'98), IEEE Press (1998) 933-938.
  25. N. Zhong, J.Z. Dong, and S. Ohsuga "Data Mining based on the Generalization Distribution Table and Rough Sets", X. Wu et al. (eds.) Research and Development in Knowledge Discovery and Data Mining, LNAI 1394, Springer (1998) 360-373.
  26. N. Zhong, J.Z. Dong, and S. Ohsuga "Soft Techniques to Rule Discovery in Data", Proc. the Fifth Congress on Intelligent Techniques and Soft Computing (EUFUT-97), edited in the Invited Session on Soft Techniques in Knowledge Discovery (1997) 212-217.
  27. C. Liu, N. Zhong, and S. Ohsuga "Constraint Inductive Logic Programming and Its Application to Knowledge Discovery in Databases", L.D. Raedt and S. Muggleton (eds), Proc. IJCAI-97 Workshop on Frontiers of Inductive Logic Programming (1997) 103-104.
  28. N. Zhong, J.Z. Dong, and S. Ohsuga "Discovering Rules in the Environment with Noise and Incompleteness", Proc. 10th International Florida AI Research Symposium (FLAIRS-97), edited in the Special Track on Uncertainty in AI (1997) 186-191.
  29. N. Zhong, S. Fujitsu, and S. Ohsuga "The Connectionist Networks Representation of a GDT for Mining Rules from Databases", Proc. Third Joint Conference on Information Sciences (JCIS'97), Vol. 3 (1997) 375-378.
  30. N. Zhong, S. Fujitsu, and S. Ohsuga "Generalization based on the Connectionist Networks Representation of a Generalization Distribution Table", H. Lu, H. Motoda, and H. Liu (eds.) KDD: Techniques and Applications, World Scientific (1997) 183-197.
  31. N. Zhong and S. Ohsuga "Representing a Generalization Distribution Table by Connectionist Networks for Evolutionary Rule Discovery", Y.Y. Chen, K. Hirota, and J.Y. Yen (eds.) SOFT COMPUTING in Intelligent Systems and Information Processing, IEEE Press (1996) 338-343.
  32. N. Zhong and S. Ohsuga "Using Generalization Distribution Tables as a Hypothesis Search Space for Generalization", Proc. 4th International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery (RSFD'96) (1996) 396-403.

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Discovering Functional Relationships from Databases
  1. N. Zhong and S. Ohsuga "KOSI - An Integrated System for Discovering Functional Relations from Databases", Journal of Intelligent Information Systems, Vol.5, No.1, Kluwer Academic Publishers (1995) 25-50.
  2. N. Zhong and S. Ohsuga "Attribute Calculation in Knowledge Discovery in Databases", Journal of Japanese Society for Artificial Intelligence, Vol.9, No.2 (1994) 258-267.
  3. N. Zhong and S. Ohsuga "An Integrated Calculation Model for Discovering Functional Relations from Databases", V. Marik, et al. (eds.) Database and Expert Systems Applications, LNCS 720, Springer (1993) 213-220.
  4. N. Zhong and S. Ohsuga "Knowledge Discovery and Management in Integrated Use of KB and DB", Ohsuga et al. (eds.) Information Modelling and Knowledge Bases: Foundations, Theory and Application, IOS Press (1992) 480-495.

Discovering Concept Clusters from Databases
  1. N. Zhong and S. Ohsuga "Discovering Concept Clusters by Decomposing Databases", Data & Knowledge Engineering, An International Journal, Vol.12, No.2, Elsevier Science Publishers (1994) 223-244.
  2. N. Zhong and S. Ohsuga "A Decomposition Based Induction Model for Discovering Concept Clusters from Databases", K.P. Jantke, et al. (eds.) Algorithmic Learning Theory, LNAI 744, Springer (1993) 384-397.

Managing and Refining Knowledge Discovered from Databases
  1. N. Zhong and S. Ohsuga "On Information of Logical Expression and Knowledge Refinement", Transactions of Information Processing Society of Japan, Vol.38, No.4 (1997) 687-697.
  2. N. Zhong and S. Ohsuga "System for Managing and Refining Structural Characteristics Discovered from Databases", Knowledge Based Systems, An International Journal, Vol.9, No.4, Elsevier Science Publishers (1996) 267-279.
  3. N. Zhong and S. Ohsuga "A Hierarchical Model Learning Approach for Refining and Managing Concept Clusters Discovered from Databases", Data & Knowledge Engineering, An International Journal, Vol.20, No.2, Elsevier Science Publishers (1996) 227-252.
  4. N. Zhong and S. Ohsuga "Managing/Refining Structural Characteristics Discovered from Databases", Proc. 28th Hawaii International Conference on System Sciences (HICSS-28), edited in the Minitrack on Information Sharing and Knowledge Discovery in Large Scientific Databases, IEEE Computer Society Press (1995) Vol.3, 283-292.
  5. N. Zhong and S. Ohsuga "IIBR - A System for Managing/Refining Structural Characteristics Discovered from Databases", Proc. 6th IEEE International Conference on Tools with Artificial Intelligence (TAI'94), IEEE Computer Society Press (1994) 468-475.
  6. N. Zhong and S. Ohsuga "HML - An Approach for Managing/Refining Knowledge Discovered from Databases", Proc. 5th IEEE International Conference on Tools with Artificial Intelligence (TAI'93), IEEE Computer Society Press (1993) 418-426.


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