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Note: Links lead to the DBLP on the Web. Ning Zhong 48 Ning Zhong, Norichika Hayazaki : Roles of Ontologies for Web Intelligence. ISMIS 2002 : 55-65 47 Ning Zhong, Juzhen Dong : Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR. PAKDD 2002 : 405-416 46 Ning Zhong, Yi Yu Yao , Jiming Liu , Setsuo Ohsuga : Web Intelligence: Research and Development, First Asia-Pacific Conference, WI 2001, Maebashi City, Japan, October 23-26, 2001, Proceedings. Springer 2001 45 Dingjun Lou , Ning Zhong: A Highly Efficient Algorithm to Determine Bicritical Graphs. COCOON 2001 : 349-356 44 Klaus Weihrauch , Ning Zhong: Turing Computability of a Nonlinear Schrödinger Propagator. COCOON 2001 : 596-600 43 Ying Sai , Y. Y. Yao , Ning Zhong: Data Analysis and Mining in Ordered Information Tables. ICDM 2001 : 497-504 42 Chunnian Liu , Ning Zhong: Dealing with Imperfect Data by RS-ILP. JSAI Workshops 2001 : 354-358 41 Ning Zhong, Ju-Zhen Dong , Setsuo Ohsuga : Meningitis Data Mining by Cooperatively Using GDT-RS and RSBR. JSAI Workshops 2001 : 541-548 40 Ning Zhong, Muneaki Ohshima , Setsuo Ohsuga : Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data. PAKDD 2001 : 260-269 39 Y. Y. Yao , Ning Zhong, Jiming Liu , Setsuo Ohsuga : Web Intelligence (WI). Web Intelligence 2001 : 1-17 38 Jiming Liu , Ning Zhong, Y. Y. Tang , Patrick Shen-Pei Wang : Intelligent Agent Technology - Introduction. IJPRAI 15 (3): 375-377 (2001) 37 Ning Zhong, Chunnian Liu , Setsuo Ohsuga : Dynamically Organizing KDD Processes. IJPRAI 15 (3): 451-473 (2001) 36 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Using Rough Sets with Heuristics for Feature Selection. JIIS 16 (3): 199-214 (2001) 35 Klaus Weihrauch , Ning Zhong: Is the Linear Schrödinger Propagator Turing Computable? CCA 2000 : 369-377 34 Chunnian Liu , Ning Zhong, Setsuo Ohsuga : A Multi-agent Based Architecture for Distributed KDD Process. ISMIS 2000 : 591-600 33 Yi Yu Yao , Ning Zhong: On Association, Similarity and Dependency of Attributes. PAKDD 2000 : 138-141 32 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Using Background Knowledge as a Bias to Control the Rule Discovery Process. PKDD 2000 : 691-698 31 Ning Zhong, Juzhen Dong , Chunnian Liu , Setsuo Ohsuga : A Hybrid Model for Rule Discovery in Data. Rough Sets and Current Trends in Computing 2000 : 436-444 30 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : A hybrid approach to rule discovery in databases. Information Sciences 126 (1-4): 99-127 (2000) 29 Ning Zhong, Lizhu Zhou : Methodologies for Knowledge Discovery and Data Mining, Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999, Proceedings. Springer 1999 28 Klaus Weihrauch , Ning Zhong: The Wave Propagator Is Turing Computable. ICALP 1999 : 697-707 27 Juzhen Dong , Ning Zhong, Setsuo Ohsuga : Probabilistic Rough Induction: The GDT-RS Methodology and Algorithms. ISMIS 1999 : 621-629 26 Y. Y. Yao , Ning Zhong: An Analysis of Quantitative Measures Associated with Rules. PAKDD 1999 : 479-488 25 Ning Zhong, Y. Y. Yao , Setsuo Ohsuga : Peculiarity Oriented Multi-database Mining. PKDD 1999 : 136-146 24 Chunnian Liu , Ning Zhong: Rough Problem Settings for Inductive Logic Programming. RSFDGrC 1999 : 168-177 23 Juzhen Dong , Ning Zhong, Setsuo Ohsuga : Using Rough Sets with Heuristics for Feature Selection. RSFDGrC 1999 : 178-187 22 Ning Zhong: Computability Structure of the Sobolev Spaces and Its Applications. TCS 219 (1-2): 487-510 (1999) 21 Juzhen Dong , Ning Zhong, Setsuo Ohsuga : GDT-RS: A Probabilistic Rough Induction Approach. Discovery Science 1998 : 425-426 20 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Data Mining Based on the Generalization Distribution Table and Rough Sets. PAKDD 1998 : 360-373 19 Ning Zhong, Chunnian Liu , Yoshitsugu Kakemoto , Setsuo Ohsuga : Handling KDD Process Changes by Incremental Replanning. PKDD 1998 : 111-120 18 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Soft Techniques to Data Mining. Rough Sets and Current Trends in Computing 1998 : 231-238 17 T. Y. Lin , Ning Zhong, J. J. Dong , Setsuo Ohsuga : Frameworks for Mining Binary Relations in Data. Rough Sets and Current Trends in Computing 1998 : 387-393 16 Ning Zhong: Recursively Enumerable Subsets of R q in Two Computing Models: Blum-Shub-Smale Machine and Turing Machine. TCS 197 (1-2): 79-94 (1998) 15 Ning Zhong, Yoshitsugu Kakemoto , Setsuo Ohsuga : An Organized Society of Autonomous Knowledge Discovery Agents. CIA 1997 : 183-194 14 Ning Zhong, Chunnian Liu , Setsuo Ohsuga : A Way of Increasing Both Autonomy and Versality of a KDD System. ISMIS 1997 : 94-105 13 Ning Zhong, Chunnian Liu , Yoshitsugu Kakemoto , Setsuo Ohsuga : KDD Process Planning. KDD 1997 : 291-294 12 Ning Zhong, Setsuo Ohsuga , Chunnian Liu , Yoshitsugu Kakemoto , Xiaosong Zhang : On Meta Levels of an Organized Society of KDD Agents. PKDD 1997 : 367-375 11 Marian Boykan Pour-El , Ning Zhong: The Wave Equation with Computable Initial Data Whose Unique Solution is Nowhere Computable. CCA 1996 10 Ning Zhong, Setsuo Ohsuga : A Multi-Step Process for Discovering, Managing and Refining Strong Functional Relations Hidden in Databases. ISMIS 1996 : 501-510 9 Ning Zhong, Setsuo Ohsuga : A Hierarchical Model Learning Approach for Refining and Managing Concept Clusters Discovered from Databases. DKE 20 (2): 227-252 (1996) 8 Ning Zhong, Setsuo Ohsuga : Toward a Multi-Strategy and Cooperative Discovery System. KDD 1995 : 337-343 7 Ning Zhong, Setsuo Ihsuga : KOSI - An Integrated System for Discovering Functional Relations from Databases. JIIS 5 (1): 25-50 (1995) 6 Ning Zhong, Setsuo Ohsuga : IIBR-A System for Managing/Refining Structural Characteristics Discovered from Databases. ICTAI 1994 : 468-475 5 Ning Zhong, Setsuo Ohsuga : The GLS Discovery System: Its Goal, Architecture and Current Results. ISMIS 1994 : 233-244 4 Ning Zhong, Setsuo Ohsuga : Discovering Concept Clusters by Decomposing Databases. DKE 12 (2): 223-244 (1994) 3 Ning Zhong, Setsuo Ohsuga : A Decomposition Based Induction Model for Discovering Concept Clusters from Databases. ALT 1993 : 384-397 2 Ning Zhong, Setsuo Ohsuga : An Integrated Calculation Model for Discovering Functional relations from Databases. DEXA 1993 : 213-220 1 Ning Zhong, Setsuo Ohsuga : HML - An Approach for Refining/Managing Knowledge Discovered from Databases. ICTAI 1993 : 418-426  DiSC'02 © 2003 Association for Computing Machinery |
