Foundations of Intelligent Systems 2003年第14届国际智能系统基础研讨会会议录

2003-12  

北京燕山出版社  

Ras, Zbigniew W.; Tsumoto, Shusaku; Zhong, Ning  

697  

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　　This book constitutes the refereed proceedings of the 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003, held in Maebashi City, Japan in October 2003. The 97 revised papers presented together with extended abstracts of 4 invited talks were carefully reviewed and selected from close to 200 submissions. The papers are organized in topical sections on knowledge discovery and data mining, knowledge representation and integration, intelligent information systems, rough sets, intelligent agent technologies, text mining, AI logic and logic programming, soft computing, intelligent information retrieval, automatic and evolutionary computation, and multimedia data processing.

Invited Papers New Challenges in the World Wide Wisdom Web (W4) Research Grounding to the Real World - Architecture for Ubiquitous Computing- Data Mining: Fast Algorithms vs. Fast Results Knowledge Discovery Services and Tools on GridsRegular Papers 1A Knowledge Discovery and Data Mining (1) Space Decomposition in Data Mining: A Clustering Approach Time Series Rule Discovery: Tough, Not Meaningless　　Mining Diagnostic Rules with Taxonomy from Medical Databases　　Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes　　Goodness-of-Fit Measures for Induction Trees　1B Knowledge Representation and Integration　　PDL with Maximum Consistency Monitors　　Comparing and Merging Ontologies: A Concept Type Hierarchy Approach　　Integrating Information under Lattice Structure　　Functional Ontology for Intelligent Instruments　　Constructing an Ontology Based on Hub Words　2A Intelligent Information Systems (I)　　Integration of Heterogeneous, Imprecise and Incomplete Data: An Application to the 　　Microbiological Risk Assessment　　Intelligent Protein 3D Structure Retrieval System　　Cognitive Vision Systems in Medical Applications,　　An Automated School Timetabling System Using Hybrid Intelligent Techniques　　Representing Audio Data by FS-Trees and Adaptable TV-Trees　2B Rough Sets　　A Framework of Rough Sets Based Rule Generation in Non-deterministic Information Systems　　Granular Computing Based on Rough Sets, Quotient Space Theory,and Belief Functions　　Searching for the Complex Decision Reducts: The Case Study of the Survival Analysis　　Clustering Supermarket Customers Using Rough Set Based Kohonen Networks　　Multi-rough Sets and Generalizations of Contexts in Multi-contexts Information System 3A Intelligent Agent Technology(1) 3B Intellingent Information Systems(2) 4A Text Mining 4B Logic for AI and Logic Programming 5A Soft Computing 5B Knowledge Discovery and Data Mining 6A Intelligent Information Retrieval 6B Autonomic and Evolutionary Computation 7A Intelligent Information Systems 7B Multi-media Data Processing 8A Intelligent Agent Technology 8B Intelligent Information Systems 8C Soft Computing Author Index

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