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Note: Links lead to the DBLP on the Web. Ning Zhong Muneaki Ohshima , Ning Zhong, Yiyu Yao , Shinichi Murata : Peculiarity Oriented Analysis in Multi-people Tracking Images. PAKDD 2004 : 508-518 Ning Zhong, Zbigniew W. Ras , Shusaku Tsumoto , Einoshin Suzuki : Foundations of Intelligent Systems, 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings Springer 2003 Ning Zhong: Toward Web Intelligence. AWIC 2003 : 1-14 Yuefeng Li , Ning Zhong: Interpretations of Association Rules by Granular Computing. ICDM 2003 : 593-596 Ning Zhong, Akio Nakamaru , Muneaki Ohshima , Jing-Long Wu , Hiroaki Mizuhara : Peculiarity Oriented Mining in Multiple Human Brain Data. IDEAL 2003 : 742-750 Y. Y. Yao , Churn-Jung Liau , Ning Zhong: Granular Computing Based on Rough Sets, Quotient Space Theory, and Belief Functions. ISMIS 2003 : 152-159 Lei Zheng , Chunnian Liu , Dong Jia , Ning Zhong: A New Approach to Constraint Inductive Logic Programming. ISMIS 2003 : 357-364 Xinwu Yang , Chunnian Liu , Ning Zhong: First-Order Rules Mining Guided by Information Gain. ISMIS 2003 : 463-467 Chuangxin Ou , Chunnian Liu , Jiajing Huang , Ning Zhong: On Data Mining for Direct Marketing. RSFDGrC 2003 : 491-498 Jiajin Huang , Chunnian Liu , Chuangxin Ou , Y. Y. Yao , Ning Zhong: Attribute Reduction of Rough Sets in Mining Market Value Functions. Web Intelligence 2003 : 470-473 Junzhong Ji , Zhiqiang Sha , Chunnian Liu , Ning Zhong: Online Recommendation Based on Customer Shopping Model in E-Commerce. Web Intelligence 2003 : 68-74 Yuefeng Li , Ning Zhong: Ontology-Based Web Mining Model: Representations of User Profiles. Web Intelligence 2003 : 96-103 Ning Zhong, Yiyu Yao , Muneaki Ohshima : Peculiarity Oriented Multidatabase Mining. IEEE Trans. Knowl. Data Eng. 15 (4): 952-960 (2003) Ning Zhong, Klaus Weihrauch : Computatbility theory of generalized functions. J. ACM 50 (4): 469-505 (2003) Jiming Liu , Ning Zhong, Yiyu Yao , Zbigniew W. Ras : The Wisdom Web: New Challenges for Web Intelligence (WI). J. Intell. Inf. Syst. 20 (1): 5-9 (2003) Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Meningitis data mining by cooperatively using GDT-RS and RSBR. Pattern Recognition Letters 24 (6): 887-894 (2003) James J. Alpigini , James F. Peters , Jacek Skowronek , Ning Zhong: Rough Sets and Current Trends in Computing, Third International Conference, RSCTC 2002, Malvern, PA, USA, October 14-16, 2002, Proceedings Springer 2002 Ning Zhong, Takahisa Matsunaga , Chunnian Liu : A Text Mining Agents Based Architecture for Personal E-mail Filtering and Management. IDEAL 2002 : 329-336 Ning Zhong, Yasuaki Matsui , Tomohiro Okuno , Chunnian Liu : Framework of a Multi-agent KDD System. IDEAL 2002 : 337-346 Ning Zhong, Norichika Hayazaki : Roles of Ontologies for Web Intelligence. ISMIS 2002 : 55-65 Ning Zhong, Juzhen Dong : Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR. PAKDD 2002 : 405-416 Ning Zhong, Juzhen Dong , Yiyu Yao , Setsuo Ohsuga : Gastric Cancer Data Mining with Ordered Information. Rough Sets and Current Trends in Computing 2002 : 467-478 Klaus Weihrauch , Ning Zhong: The Solution Operator of the Korteweg-de Vries Equation is Computable. Electr. Notes Theor. Comput. Sci. 66 (1): (2002) Ning Zhong, Jiming Liu , Yiyu Yao : In Search of the Wisdom Web. IEEE Computer 35 (11): 27-31 (2002) Yiyu Yao , Ning Zhong, Jiajin Huang , Chuangxin Ou , Chunnian Liu : Using Market Value Functions for Targeted Marketing Data Mining. IJPRAI 16 (8): 1117-1132 (2002) Ning Zhong: Representation and Construction of Ontologies for Web Intelligence. Int. J. Found. Comput. Sci. 13 (4): 555-570 (2002) Vasco Brattka , Peter Hertling , Mariko Yasugi , Ning Zhong: Preface: MLQ - Math. Log. Quart. Supplement 1/2002. Math. Log. Q. 48 (S1): (2002) Ning Zhong, Yiyu 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 Dingjun Lou , Ning Zhong: A Highly Efficient Algorithm to Determine Bicritical Graphs. COCOON 2001 : 349-356 Klaus Weihrauch , Ning Zhong: Turing Computability of a Nonlinear Schrödinger Propagator. COCOON 2001 : 596-600 Yiyu Yao , Ning Zhong: Mining Market Value Functions for Targeted Marketing. COMPSAC 2001 : 517- Ying Sai , Yiyu Yao , Ning Zhong: Data Analysis and Mining in Ordered Information Tables. ICDM 2001 : 497-504 Chunnian Liu , Ning Zhong: Dealing with Imperfect Data by RS-ILP. JSAI Workshops 2001 : 354-358 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Meningitis Data Mining by Cooperatively Using GDT-RS and RSBR. JSAI Workshops 2001 : 541-548 Ning Zhong, Muneaki Ohshima , Setsuo Ohsuga : Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data. PAKDD 2001 : 260-269 Yiyu Yao , Ning Zhong, Jiming Liu , Setsuo Ohsuga : Web Intelligence (WI). Web Intelligence 2001 : 1-17 Chunnian Liu , Ning Zhong: Rough Problem Settings for ILP Dealing with Imperfect Data. Computational Intelligence 17 (3): 446-459 (2001) Jiming Liu , Ning Zhong, Yuan Yan Tang , Patrick Shen-Pei Wang : Intelligent Agent Technology - Introduction. IJPRAI 15 (3): 375-377 (2001) Ning Zhong, Chunnian Liu , Setsuo Ohsuga : Dynamically Organizing KDD Processes. IJPRAI 15 (3): 451-473 (2001) Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Using Rough Sets with Heuristics for Feature Selection. J. Intell. Inf. Syst. 16 (3): 199-214 (2001) Ning Zhong, Juzhen Dong , Chunnian Liu , Setsuo Ohsuga : A hybrid model for rule discovery in data. Knowl.-Based Syst. 14 (7): 397-412 (2001) William Gay , Bing-Yu Zhang , Ning Zhong: Computability of Solutions of the Korteweg-de Vries Equation. Math. Log. Q. 47 (1): 93-110 (2001) Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Rule discovery by soft induction techniques. Neurocomputing 36 (1-4): 171-204 (2001) Klaus Weihrauch , Ning Zhong: Is the Linear Schrödinger Propagator Turing Computable? CCA 2000 : 369-377 Ning Zhong, Jiming Liu , Yiyu Yao , Setsuo Ohsuga : Web Intelligence (WI). COMPSAC 2000 : 469- Chunnian Liu , Ning Zhong, Setsuo Ohsuga : A Multi-agent Based Architecture for Distributed KDD Process. ISMIS 2000 : 591-600 Yiyu Yao , Ning Zhong: On Association, Similarity and Dependency of Attributes. PAKDD 2000 : 138-141 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Using Background Knowledge as a Bias to Control the Rule Discovery Process. PKDD 2000 : 691-698 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 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : A hybrid approach to rule discovery in databases. Inf. Sci. 126 (1-4): 99-127 (2000) 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 Ning Zhong, Andrzej Skowron , Setsuo Ohsuga : New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, 7th International Workshop, RSFDGrC '99, Yamaguchi, Japan, November 9-11, 1999, Proceedings Springer 1999 Klaus Weihrauch , Ning Zhong: The Wave Propagator Is Turing Computable. ICALP 1999 : 697-707 Juzhen Dong , Ning Zhong, Setsuo Ohsuga : Probabilistic Rough Induction: The GDT-RS Methodology and Algorithms. ISMIS 1999 : 621-629 Yiyu Yao , Ning Zhong: An Analysis of Quantitative Measures Associated with Rules. PAKDD 1999 : 479-488 Ning Zhong, Yiyu Yao , Setsuo Ohsuga : Peculiarity Oriented Multi-database Mining. PKDD 1999 : 136-146 Chunnian Liu , Ning Zhong: Rough Problem Settings for Inductive Logic Programming. RSFDGrC 1999 : 168-177 Juzhen Dong , Ning Zhong, Setsuo Ohsuga : Using Rough Sets with Heuristics for Feature Selection. RSFDGrC 1999 : 178-187 Bing-Yu Zhang , Ning Zhong: L p -Computability. Math. Log. Q. 45 : 449-456 (1999) Ning Zhong: Computability Structure of the Sobolev Spaces and Its Applications. Theor. Comput. Sci. 219 (1-2): 487-510 (1999) Juzhen Dong , Ning Zhong, Setsuo Ohsuga : GDT-RS: A Probabilistic Rough Induction Approach. Discovery Science 1998 : 425-426 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Data Mining Based on the Generalization Distribution Table and Rough Sets. PAKDD 1998 : 360-373 Ning Zhong, Chunnian Liu , Yoshitsugu Kakemoto , Setsuo Ohsuga : Handling KDD Process Changes by Incremental Replanning. PKDD 1998 : 111-120 Ning Zhong, Juzhen Dong , Setsuo Ohsuga : Soft Techniques to Data Mining. Rough Sets and Current Trends in Computing 1998 : 231-238 Tsau Young 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 Ning Zhong: Derivatives of Computable Functions. Math. Log. Q. 44 : 304-316 (1998) Ning Zhong: Recursively Enumerable Subsets of R q in Two Computing Models: Blum-Shub-Smale Machine and Turing Machine. Theor. Comput. Sci. 197 (1-2): 79-94 (1998) Ning Zhong, Yoshitsugu Kakemoto , Setsuo Ohsuga : An Organized Society of Autonomous Knowledge Discovery Agents. CIA 1997 : 183-194 Ning Zhong, Chunnian Liu , Setsuo Ohsuga : A Way of Increasing Both Autonomy and Versality of a KDD System. ISMIS 1997 : 94-105 Ning Zhong, Chunnian Liu , Yoshitsugu Kakemoto , Setsuo Ohsuga : KDD Process Planning. KDD 1997 : 291-294 Ning Zhong, Setsuo Ohsuga , Chunnian Liu , Yoshitsugu Kakemoto , Xiaosong Zhang : On Meta Levels of an Organized Society of KDD Agents. PKDD 1997 : 367-375 Marian Boykan Pour-El , Ning Zhong: The Wave Equation with Computable Initial Data Whose Unique Solution Is Nowhere Computable. Math. Log. Q. 43 : 499-509 (1997) Marian Boykan Pour-El , Ning Zhong: The Wave Equation with Computable Initial Data Whose Unique Solution is Nowhere Computable. CCA 1996 Ning Zhong, Setsuo Ohsuga : A Multi-Step Process for Discovering, Managing and Refining Strong Functional Relations Hidden in Databases. ISMIS 1996 : 501-510 Ning Zhong, Setsuo Ohsuga : A Hierarchical Model Learning Approach for Refining and Managing Concept Clusters Discovered from Databases. Data Knowl. Eng. 20 (2): 227-252 (1996) Ning Zhong, Setsuo Ohsuga : Managing/refining structural characteristics discovered from databases. HICSS (3) 1995 : 283-292 Ning Zhong, Setsuo Ohsuga : Toward a Multi-Strategy and Cooperative Discovery System. KDD 1995 : 337-343 Ning Zhong, Setsuo Ihsuga : KOSI - An Integrated System for Discovering Functional Relations from Databases. J. Intell. Inf. Syst. 5 (1): 25-50 (1995) Ning Zhong, Setsuo Ohsuga : IIBR-A System for Managing/Refining Structural Characteristics Discovered from Databases. ICTAI 1994 : 468-475 Ning Zhong, Setsuo Ohsuga : The GLS Discovery System: Its Goal, Architecture and Current Results. ISMIS 1994 : 233-244 Ning Zhong, Setsuo Ohsuga : Discovering Concept Clusters by Decomposing Databases. Data Knowl. Eng. 12 (2): 223-244 (1994) Ning Zhong, Setsuo Ohsuga : A Decomposition Based Induction Model for Discovering Concept Clusters from Databases. ALT 1993 : 384-397 Ning Zhong, Setsuo Ohsuga : An Integrated Calculation Model for Discovering Functional relations from Databases. DEXA 1993 : 213-220 Ning Zhong, Setsuo Ohsuga : HML - An Approach for Refining/Managing Knowledge Discovered from Databases. ICTAI 1993 : 418-426 1 [ 68 ] 2 [ 58 ] 3 [ 20 ] 4 [ 21 ] [ 23 ] [ 24 ] [ 27 ] [ 31 ] [ 35 ] [ 36 ] [ 37 ] [ 42 ] [ 44 ] [ 45 ] [ 51 ] [ 63 ] [ 64 ] [ 69 ] 5 [ 43 ] 6 [ 65 ] 7 [ 58 ] 8 [ 60 ] [ 75 ] 9 [ 76 ] 10 [ 7 ] 11 [ 74 ] 12 [ 78 ] 13 [ 14 ] [ 15 ] [ 17 ] [ 22 ] 14 [ 73 ] [ 81 ] 15 [ 79 ] 16 [ 20 ] 17 [ 14 ] [ 15 ] [ 16 ] [ 22 ] [ 28 ] [ 36 ] [ 39 ] [ 44 ] [ 46 ] [ 48 ] [ 52 ] [ 60 ] [ 66 ] [ 67 ] [ 74 ] [ 75 ] [ 76 ] [ 77 ] [ 78 ] 18 [ 40 ] [ 47 ] [ 49 ] [ 57 ] [ 61 ] [ 70 ] 19 [ 56 ] 20 [ 66 ] 21 [ 67 ] 22 [ 80 ] 23 [ 84 ] 24 [ 80 ] 25 [ 50 ] [ 72 ] [ 80 ] [ 84 ] 26 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 14 ] [ 15 ] [ 16 ] [ 17 ] [ 20 ] [ 21 ] [ 22 ] [ 23 ] [ 24 ] [ 27 ] [ 29 ] [ 31 ] [ 33 ] [ 35 ] [ 36 ] [ 37 ] [ 39 ] [ 40 ] [ 42 ] [ 44 ] [ 45 ] [ 46 ] [ 49 ] [ 50 ] [ 51 ] [ 57 ] [ 63 ] [ 69 ] 27 [ 66 ] 28 [ 60 ] [ 75 ] [ 76 ] 29 [ 68 ] 30 [ 12 ] [ 13 ] 31 [ 70 ] [ 83 ] 32 [ 53 ] 33 [ 74 ] 34 [ 33 ] 35 [ 68 ] 36 [ 83 ] 37 [ 47 ] 38 [ 83 ] 39 [ 47 ] 40 [ 32 ] [ 41 ] [ 55 ] [ 62 ] [ 71 ] 41 [ 80 ] 42 [ 77 ] 43 [ 75 ] [ 79 ] 44 [ 29 ] [ 30 ] [ 38 ] [ 40 ] [ 49 ] [ 53 ] [ 54 ] [ 57 ] [ 60 ] [ 61 ] [ 63 ] [ 70 ] [ 72 ] [ 84 ] 45 [ 58 ] 46 [ 26 ] [ 43 ] 47 [ 14 ] 48 [ 78 ] 49 [ 34 ]  ©2004 Association for Computing Machinery |
