Selected Publications


Selected Books etc
  1. 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).
  2. 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).
  3. K. Fischer, E. Andre, I.J. Timm, N. Zhong (eds.) Multiagent System Technologies, 4th German Conference, MATES 2006, Springer, LNAI 4196 (2006).
  4. Y. Li, M. Looi, N. Zhong (eds.) Advances in Intelligent IT, Active Media Technology 2006, IOS Press (2006).
  5. 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).
  6. 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).
  7. Zhong, N. and Liu, J. (eds.) Intelligent Technologies for Information Analysis, Springer Monograph (2004).
  8. Ning 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).
  9. Ning 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).
  10. 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).
  11. Zhong, N., Ras, Z.W., Tsumoto, S., Suzuki, E. (eds.) Foundations of Intelligent Systems, Lecture Notes in Artificial Intelligence 2871, Springer (2003).
  12. Liu, J., Liu, C., Klusch, M., Zhong, N., Cercone, N. (eds.) Proceedings of the IEEE/WIC International Conference on Web Intelligence (WI 2003), IEEE Computer Society Press, California, USA (2003).
  13. Liu, J., Faltings, B., Zhong, N., Lu, R., Nishida, T. (eds.) Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), IEEE Computer Society Press, California, USA (2003).
  14. J.P. Li, J. Liu, J. Yen, J. Zhao, N. Zhong (eds.), Active Media Technology, World Scientific (2003).
  15. Zhong, N., Liu, J., and Yao, Y.Y. (eds.) Web Intelligence, Springer Monograph (2003).
  16. Zhong, N., Liu, J., and Yao, Y.Y. (eds.) Special issue on Web Intelligence (WI), IEEE Computer, Vol. 35, No. 11 (November 2002)
  17. Kumar, V., Tsumoto, S., Zhong, N. Yu, P.S., and Wu, X. (eds.) Proceedings of 2002 IEEE International Conference on Data Mining, IEEE Computer Society Press, California, USA (2002).
  18. 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).
  19. Zhong, N., Yao, Y.Y., Liu, J., and Ohsuga, S. (eds.) Web Intelligence: Research and Development, Lecture Notes in Artificial Intelligence 2198, Springer (2001).
  20. Zhong, N., Liu, J., Ohsuga, S., and Bradshaw, J. (eds.) Intelligent Agent Technology: Research and Development, World Scientific (2001).
  21. Zhong, N. and Ohsuga, S. 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.
  22. Zhong, N. Knowledge Discovery and Data Mining, in the Encyclopedia of Microcomputers, Volume 27 (Supplement 6), Marcel Dekker (2001) 235-286 (invited survey paper).
  23. Liu, J., Zhong, N. Tang, Y.Y., and Patrick S.P. Wang (eds.) Agent Engineering, in Machine Perception and Artificial Intelligence Series, Vol.43, World Scientific (2001).
  24. Zhong, N. and Skowron, A. Rough Sets in KDD: Tutorial Notes, Bulletin of International Rough Set Society, Volume 4, No. 1/2 (2000).
  25. Liu, J. and Zhong, N. (eds.) Intelligent Agent Technology: Systems, Methodologies, and Tools, World Scientific (1999).
  26. Zhong, N., Skowron, A., and Ohsuga, S. (eds.) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, Lecture Notes in Artificial Intelligence 1711, Springer (1999).
  27. Zhong, N. and Zhou, L. (eds.) Methodologies for Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence 1574, Springer (1999).
  28. Zhong, N. A Study on Knowledge Discovery in Databases, Doctoral Dissertation, The University of Tokyo (1995).

Top
Selected Papers
KDD Process and KDD Agents
  1. Zhong, N., Matsui, Y., Okuno, T., Liu, C. "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. Zhong, N. and Skowron, A. "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. Zhong, N., Liu, C., and Ohsuga, S. "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. Zhong, N., Liu, C., and Ohsuga, S. "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.
  5. Liu, C. and Zhong, N. "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.
  6. Zhong, N., Dong, J.Z., and Ohsuga, S. "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.
  7. Liu, C. and Zhong, N. "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.
  8. Zhong, N., Liu, C., Kakemoto, Y., and Ohsuga, S. "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.
  9. Zhong, N., Liu,C., and Ohsuga, S. "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.
  10. Zhong, N., Liu, C., Kakemoto, Y., and Ohsuga, S. "KDD Process Planning", Proc. Third International Conference on Knowledge Discovery and Data Mining (KDD-97), AAAI Press (1997) 291-294.
  11. Liu, C., Zhong, N., Kakemoto, Y., and Ohsuga, S. "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.
  12. Zhong, N., Ohsuga, S., Liu, C., Kakemoto, Y., and Zhang, X. "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.
  13. Zhong, N. and Ohsuga, S. "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.
  14. Zhong, N., Kakemoto, Y., and Ohsuga, S. "An Organized Society of Autonomous Knowledge Discovery Agents", Peter Kandzia and Matthias Klusch (eds.) Cooperative Information Agents, LNAI 1202, Springer (1997) 183-194.
  15. Onabuta, T., Kakemoto, Y. and Zhong, N. "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.
  16. Zhong, N. and Ohsuga, S. "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.
  17. Zhong, N. and Ohsuga, S. "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.
  18. Zhong, N. and Ohsuga, S. "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.
  19. Zhong, N. and Ohsuga, S. "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.

Top
Hybrid Approach for Rule Discovery
  1. Zheng, L., Liu, C., Dong, J., Zhong, N. "Generating Numerical Constraints in CILP", International Journal of Pattern Recognition and Artificial Intelligence, Vol. 19, No. 1, World Scientific (2005) 91-108.
  2. Suzuki, E., Watanabe, T., Yamada, Y. Jumi, M., Ohshima, M., Zhong, N., Yokoi, H., Takabayashi, K. "Spiral Active-Mining Based on Exception Discovery", Journal of Japanese Society for Artificial Intelligence, Vol. 20, No. 3 (2005) 188-195.
  3. Ohshima, M., Okuno, T., Fujita, Y., Zhong, N., Dong, J., Yokoi, H. "Spiral Multi-Aspect Mining for Hepatitis Data Analysis", S. Tsumoto and H. Motoda (eds.) Active Mining, LNAI 3430, Springer (2005) 213-238.
  4. Zhong, N. and Dong, J.Z. "Meningitis Data Mining by Cooperatively Using GDT-RS and RSBR", Pattern Recognition Letters, Elsevier Science Publishers Vol.24, No.6 (2003) 887-894.
  5. Yang, X., Liu, C., Zhong, N. "Fisrt-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.
  6. Zheng, L., Liu, C. Dong J., Zhong, N. "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.
  7. Zhong, N., Yao, Y.Y., Dong, J.Z., Ohsuga, S. "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.
  8. Zhong, N. "Rough Sets in Knowledge Discovery and Data Mining", Journal of Japan Society for Fuzzy Theory and Systems, Vol. 13, No. 6 (2001) 581-591
  9. Zhong, N., Dong, J.Z., Liu, C., and Ohsuga, S. "A Hybrid Model for Rule Discovery in Data", Knowledge Based Systems, An International Journal, Elsevier Science Publishers, Vol. 14, No. 7 (2001) 397-412
  10. Zhong, N., Dong, J.Z., and Ohsuga, S. "Using Rough Sets with Heuristics to Feature Selection", Journal of Intelligent Information Systems, Vol. 16, No. 3, Kluwer Academic Publishers (2001) 199-214.
  11. Liu, C. and Zhong, N. "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.
  12. Zhong, N., Dong, J.Z., and Ohsuga, S. "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.
  13. Zhong, N., Dong, J.Z., and Ohsuga, S. "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.
  14. Zhong, N., Dong, J.Z., and Ohsuga, S. "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).
  15. Zhong, N., Dong, J.Z., and Ohsuga, S. "A Hybrid Approach to Rule Discovery in Databases", Information Sciences, An International Journal, North-Holland, Vol.126, No.1-4 (2000) 99-127.
  16. Dong, J.Z., Zhong, N., and Ohsuga, S. "Rule Discovery by Probabilistic Rough Induction", Journal of Japanese Society for Artificial Intelligence, Vol.15, No.2 (2000) 276-286.
  17. Liu, C. and Zhong, N. "Rough Problem Settings for Inductive Logic Programming", Zhong, N., Skowron, A., and Ohsuga, S. (eds.) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, LNAI 1711, Springer (1999) 168-177.
  18. Dong, J.Z., Zhong, N., and Ohsuga, S. "Using Rough Sets with Heuristics to Feature Selection", Zhong, N., Skowron, A., and Ohsuga, S. (eds.) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, LNAI 1711, Springer (1999) 178-187.
  19. Dong, J.Z., Zhong, N., and Ohsuga, S. "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.
  20. Zhong, N., Dong, J.Z., and Ohsuga, S. "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.
  21. Zhong, N., Dong, J.Z., Fujitsu, S., and Ohsuga, S. "Soft Techniques to Rule Discovery in Data", Transactions of Information Processing Society of Japan, Vol. 39, No. 9 (1998) 2581-2592.
  22. Zhong, N., Dong, J.Z., and Ohsuga, S. "Soft Techniques to Data Mining", L. Polkowski and A. Skowron (eds.) Rough Stes and Current Trends in Computing, LNAI 1424, Springer (1998) 231-238.
  23. Zhong, N., Dong, J.Z., Ohsuga, S., and Lin, T.Y. "An Incremental, Probabilistic Rough Set Approach to Rule Discovery", Proc. 1998 IEEE World Congress on Computational Intelligence (WCCI'98), IEEE Press (1998) 933-938.
  24. Zhong, N., Dong, J.Z., and Ohsuga, S. "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.
  25. Zhong, N., Dong, J.Z., and Ohsuga, S. "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.
  26. Liu, C., Zhong, N., and Ohsuga, S. "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.
  27. Zhong, N., Dong, J.Z., and Ohsuga, S. "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.
  28. Zhong, N., Fujitsu, S., and Ohsuga, S. "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.
  29. Zhong, N., Fujitsu, S., and Ohsuga, S. "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.
  30. Zhong, N. and Ohsuga, S. "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.
  31. Zhong, N. and Ohsuga, S. "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.

Top
Interestingness, Peculiarity-Oriented Mining, and Multi-Database Mining
  1. Yang, J., Zhong, N., Yao, Y.Y., Wang, J. ``Local Peculiarity Factor and Its Application in Outlier Detection'', Proc. the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08), Las Vegas, 24-27 August 2008 (in press).
  2. Ohshima, M., Zhong, N., Dong, J.Z., Yokoi, H. "Multi-Aspect Mining in Hepatitis Data", International Journal of Information Technology and Decision Making, World Scientific, Vol. 6, No. 3 (2008) (in press).
  3. Jumi, M., Ohshima, M., Zhong, N., Yokoi, H., Takabayashi, K., Suzuki, E., "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.
  4. Ohshima, M. Zhong, N., Yao, Y.Y., Liu, C. "Relational Peculiarity Oriented Mining", Data Mining and Knowledge Discovery, an International Journal, Springer, 15(2) (2007) 249-273.
  5. Ohshima, M., Zhong, N., Yao, Y.Y., Murata. S. "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.
  6. Zhong, N., Liu, C., Yao, Y.Y., Ohshima, M., Huang, M., Huang, J.J. "Relational Peculiarity Oriented Mining", Proc. Fourth IEEE International Conference on Data Mining (ICDM'04), IEEE Computer Society Press (2004) 575-578.
  7. Zhong, N., Yao, Y.Y., Ohshima, M. "Peculiarity Oriented Multi-Database Mining", IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 4 (2003) 952-960.
  8. Ohshima, M., Okuno, T., Zhong, N., Yokoi, H. "Multi-Aspect Mining for Hepatitis Data Analysis", Proc. the 2nd International Workshop on Active Mining, in conjunction with ISMIS'03 (2003) 74-84.
  9. Zhong, N., Nakamaru, A., Ohshima, M., Wu, J.L., Mizuhara, H. "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.
  10. Zhong, N. "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.
  11. Yao, Y.Y. and Zhong, N. "An Analysis of Peculiarity Oriented Data Mining", Proc. IEEE ICDM'02 Workshop on the Foundation of Data Mining and Discovery, (2002) 185-188.
  12. Zhong, N., Yao, Y.Y., Ohshima, M., and Ohsuga, S. "Interestingness, Peculiarity, and Multi-Database Mining", Proc. 2001 IEEE International Conference on Data Mining (IEEE ICDM'01), IEEE Computer Society Press (2001) 566-573.
  13. Wu, J. and Zhong, N. "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.
  14. Zhong, N., Ohshima, M., and Ohsuga, S. "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.
  15. Zhong, N., Yamashita, S., and Ohsuga, S. "Mining Surprising Rules from Multiple Databases", Proc. 4th Joint Conference on Information Sciences (JCIS'98) Vol. 2 (1998) 331-334.
  16. Zhong, N. and Yamashita, S. "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.

Top
Discovering Functional Relationships from Databases
  1. Zhong, N. and Ohsuga, S. "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. Zhong, N. and Ohsuga, S. "Attribute Calculation in Knowledge Discovery in Databases", Journal of Japanese Society for Artificial Intelligence, Vol.9, No.2 (1994) 258-267.
  3. Zhong, N. and Ohsuga, S. "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. Zhong, N. and Ohsuga, S. "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. Zhong, N. and Ohsuga, S. "Discovering Concept Clusters by Decomposing Databases", Data & Knowledge Engineering, An International Journal, Vol.12, No.2, Elsevier Science Publishers (1994) 223-244.
  2. Zhong, N. and Ohsuga, S. "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. Zhong, N. and Ohsuga, S. "On Information of Logical Expression and Knowledge Refinement", Transactions of Information Processing Society of Japan, Vol.38, No.4 (1997) 687-697.
  2. Zhong, N. and Ohsuga, S. "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. Zhong, N. and Ohsuga, S. "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. Zhong, N. and Ohsuga, S. "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. Zhong, N. and Ohsuga, S. "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. Zhong, N. and Ohsuga, S. "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.

Top
Granular Computing (GrC) and KDD Fundamental
  1. Yao, Y.Y., Zhong, N., Zhao, Y. "A Three-layered Conceptual Framework of Data Mining", C.-J. Liau and T.Y. Lin (eds.) Foundation of Data Mining and Discovery, Springer (in press)
  2. Ohshima, M., Zhong, N., Yokoi, H., Yao, Y.Y. "Analyzing Hepatitis Data Using Ordered Information", Proc. 2005 IEEE International Conference on Granular Computing (GrC'05), IEEE Press (2005) 599-604.
  3. Li, Y., Zhong, N. "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.
  4. Yao, Y.Y., Liau C.J., Zhong, N. "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.
  5. Yao, Y.Y. and Zhong, N. "Granular Computing using Information Tables", Lin, T.Y., Yao, Y.Y., and Zadeh, L.A. (eds.) Data Mining, Rough Sets and Granular Computing Physica, Heidelberg (2002) 102-124.
  6. Sai, Y., Yao, Y.Y., and Zhong, N. "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.
  7. Yao, Y.Y. and Zhong, N. "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.
  8. Liu, C. and Zhong, N. "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.
  9. Zhong, N. "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.
  10. Yao, Y.Y. and Zhong, N. "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.
  11. Yao, Y.Y. and Zhong, N. "An Analysis of Quantitative Measures Associated with Rules", Zhong, N. and Zhou, L. (eds.) Methodologies for Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence 1574, Springer (1999) 479-488.
  12. Lin, T.Y., Zhong, N., Dong, J.Z., and Ohsuga, S. "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.

Top
Brain Informatics
  1. Zhong, N., "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.
  2. Liang, P., Zhong, N., Wu, J.L., Lu, S., Liu, J., Yao, Y.Y. "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.
  3. P.P. Liang, Zhong, N., 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.
  4. J. Yang, Zhong, N., 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.
  5. Motomura, S., Hara, A., Zhong, N., Lu, S., "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.
  6. Zhong, N., Motomura, S., "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.
  7. Zhong, N. "Impending Brain Informatics (BI) Research from Web Intelligence (WI) Perspective", International Journal of Information Technology and Decision Making, World Scientific, Vol. 5, No. 4 (2006) 713-727.
  8. Zhong, N. "Multi-aspect Data Analysis in Brain Informatics", S.K. Pal et al. (eds) PReMI 2005, LNCS 3776, Springer (2005) 98-107.
  9. Zhong, N. "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.
  10. Zhong, N., Hu, J., Motomura, S., Wu, J., Liu, C. "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.
  11. Zhong, N., Motomura, S., Wu, J.L., "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.
  12. Zhong, N., Wu, J.L., Nakamaru, A., Ohshima, M., Mizuhara, H. "Peculiarity Oriented fMRI Brain Data Analysis for Studying Human Multi-Perception Mechanism", Cognitive Systems Research, An International Journal, Elsevier (2004) 241-256.

Top
Text Mining, Web Mining, Web Intelligence (WI), Business Intelligence
  1. Zhong, N., Liu, J., Yao, Y.Y. "Envisioning Intelligent Information Technologies from the Stand-Point of Web Intelligence", Communications of the ACM, 50(3) (2007) 89-94.
  2. Zhong, N., "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.
  3. Hu, J. and Zhong, N. "Web Farming with Clickstream", International Journal of Information Technology and Decision Making, World Scientific, Vol. 6, No. 4 (2008) (in press).
  4. Hu, J., Zhong, N., Shi, Y. "Developing Mining-grid Centric e-Finance Portal", International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, Vol. 21, No. 4 (2007) 639-658.
  5. 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.
  6. 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.
  7. 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.
  8. Li, Y., Zhong, N., Zhou, X., Wu, S.T., "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.
  9. Li, Y. and Zhong, N. "Mining Rough Association from Text Documents for Web Information Gathering", Springer Transactions on Rough Sets VII, Springer LNCS 4400 (2007) 103-119.
  10. Ji, J., Liu, C., Yan, J., Zhong, N. "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.
  11. Zeng, Y., Yao, Y.Y., Zhong, N. "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.
  12. Gao, M., Liu, J., Zhong, N., Liu, C., Chen, F., "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.
  13. Gao, M., Liu, J., Zhong, N. "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.
  14. Li, W., Zhong, N., Liu, J., Yao, Y.Y., Liu, C. "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.
  15. Tao, X., Li, Y., Zhong, N., Nayak, R. "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.
  16. Li, W., Zhong, N., Liu, C. "Combining Multiple Email Filters Based on Multivariate Statistical Analysis", Esposito, F., Ras, Z.W., Malerba, D., Semeraro, G. (eds.) Foundations of Intelligent Systems, ISMIS 2006, LNAI 4203, Springer (2006) 729-738.
  17. Li, W., Zhong, N., Liu, C. "ECPIA: An Email-Centric Personal Intelligent Assistant", Wang, G., Peters, J.F., Skowron, A., Yao, Y. (eds.) Rough Sets and Knowledge Technology, RSKT 2006, LNAI 4062, Springer (2006) 502-509.
  18. Li, W., Zhong, N., Yao, Y.Y., Liu, J., Liu, C. "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, Rough Sets and Current Trends in Computing, RSCTC 2006, LNAI 4259, Springer (2006) 368-377.
  19. Li, Y. and Zhong, N. "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.
  20. Hu, J., Zhong, N., Shi, Y. "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.
  21. Hu, J. and Zhong, N. "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.
  22. Li, Y. and Zhong, N. "Mining Ontology for Automatically Acquiring Web User Information Needs", IEEE Transactions on Knowledge and Data Engineering, Vol. 18, No. 4 (2006) 554-568.
  23. Ji, J., Liu, C., Sha, Z., Zhong, N. "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.
  24. Hu, J. and Zhong, N. "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.
  25. Su, Y., Liu, J., Zhong, N., Zheng, L., Liu, C. "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.
  26. Li, Y., Murphy, B., Zhong, N. "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.
  27. Zhao, Y., Yao, Y.Y., Zhong, N. "Multilevel Web Personalization", Proc. 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), IEEE Computer Society Press (2005) 649-652.
  28. Su, Y., Zheng, L., Zhong, N., Liu, C. Liu, J. "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.
  29. Hu, J., Zhong, N. "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.
  30. Li, Y., Zhong, N. "Web Data Mining and Reasoning Model", Proc. 17th Australian Joint Conference on Artificial Intelligence, LNCS 3339, Springer (2004) 1128-1134.
  31. Zhong, N., Liu, J. "The Alchemy of Intelligent IT (iIT): Blueprint for Future of Information Technology", Intelligent Technologies for Information Analysis, Springer Monograph (2004) 1-16.
  32. Zhong, N., Yao, Y.Y., Liu, C., Ou, C., Huang, J. "Data Mining for Targeted Marketing", Intelligent Technologies for Information Analysis, Springer Monograph (2004) 109-131.
  33. Li, Y., Zhong, N. "Web Mining Model and Its Applications for Information Gathering", Knowledge-Based Systems, An International Journal, Elsevier Science Publishers (2004) 207-217.
  34. Ji, J., Liu, C., Yan, J. Zhong, N. "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.
  35. Li, Y., Zhong, N. "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.
  36. Zhong, N. "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.
  37. Huang, J.J., Liu, C., Zhong, N., Yao, Y.Y. "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.
  38. Huang, J., Zhong, N., Liu, C., Yao, Y.Y. "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.
  39. Zhong, N. "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).
  40. Liu, J, Zhong, N., Yao, Y., and Ras, Z.W., "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.
  41. Li, Y., Zhong, N. "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.
  42. Ji, J., Sha, Z., Liu, C., Zhong, N. "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.
  43. Huang, J., Liu, C., Ou, C., Yao, Y.Y., Zhong, N. "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.
  44. Li, W.B., Zhong, N., Liu, C. "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.
  45. Zhong, N. "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.
  46. Zhong, N. "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.
  47. Zhong, N., Liu, J., Yao, Y.Y. "Web Intelligence (WI): A New Paradigm for Developing the Wisdom Web and Social Network Intelligence", Zhong, N., Liu, J., and Yao, Y.Y. (eds) Web Intelligence, Springer Monograph (2003) 1-16.
  48. Lu, Z., Yao, Y.Y. and Zhong, N. "Web Log Mining", Zhong, N., Liu, J., and Yao, Y.Y. (eds) Web Intelligence, Springer Monograph (2003) 173-194.
  49. Zhong, N., Liu, J., Wang, P.P. "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.
  50. Zhong, N. and Hayazaki, N. "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.
  51. Zhong, N. and Dong, J.Z. "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.
  52. Zhong, N. "Ontologies in Web Intelligence", L.C. Jain, Z. Chen, N. Ichalkaranje (eds.) Intelligent Agents and Their Applications, Physica (2002) 83-100.
  53. Y.Y. Yao, Zhong, N., Huang, J., Ou, C., and Liu, C. "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.
  54. Zhong, N., Liu, J, Yao, Y. "In Search of the Wisdom Web" Special issue on Web Intelligence (WI), IEEE Computer, Vol. 35, No. 11 (November 2002) 27-31.
  55. Zhong, N. "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.
  56. Zhong, N., Matsunaga, T., Liu, C. "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.
  57. Yao, Y.Y., Zhong, N., Liu, J., and Ohsuga, S. "Web Intelligence (WI): Research Challenges and Trends in the New Information Age", Zhong, N., Yao, Y.Y., Liu, J., and Ohsuga, S. (eds) Web Intelligence: Research and Development, Lecture Notes in Artificial Intelligence 2198, Springer (2001) 1-17.
  58. Yao, Y.Y. and Zhong, N. "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.
  59. Zhong, N., Liu, J., Yao, Y.Y. and Ohsuga, S. "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.
  60. Zhong, N., Yao, Y.Y., and Kakemoto, Y. "Automatic Construction of Ontology from Text Databases", N. Ebecken and C.A. Brebbia (eds.) Data Mining, Volume 2, WIT Press (2000) 173-180.
Top
Reterun to My Home Pages