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Foundations of Intelligent Systems(智能系统基础/会议录)

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Foundations of Intelligent Systems(智能系统基础/会议录)

最 低 价:¥813.60

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作 者:Mohand-SaidHacid 著

出 版 社:北京燕山出版社

出版时间:2005-8-1

I S B N:3540258787

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内容简介

This book constitutes the refereed proceedings of the 15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005, held in Saratoga Springs, NY, USA in May 2005. The 69 revised full papers presented together with 2 invited papers were carefully reviewed and selected from close to 200 submissions. The papers are organized in topical sections on knowledge discovery and data mining, intelligent information systems, information and knowledge integration, soft computing, clustering, Web data processing, AI logics, applications, intelligent information retrieval, and knowledge representation.

作者简介

目录

Invited Papers
 Methodologies for Automated Telephone Answering
 Anomaly Detection in Computer Security and an Application to File System Accesses
Regular Papers
 1A Knowledge Discovery and Data Mining (1)
 A Machine Text-Inspired Machine Learning Approach for Identification of
 Transmembrane Helix Boundaries
 Visualization of Similarities and Dissimilarities in Rules Using
 Multidimensional Scalinz
 Learning Profiles Based on Hierarchical Hidden Markov Model
 Statistical Independence from the Viewpoint of Linear Algebra
2A Intelligent Information Systems (1)
 Bitmap Index-Based Decision Trees
 On Automatic Modeling and Use of Domain-Specific Ontologies
 Using Self-Adaptable Probes for Dynamic Parameter Control of Parallel Evolutionary Algorithms
 Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble
1B Knowledge Discovery and Data Mining (2)
 Mining the Semantic Web: A Logic-Based Methodology
 Analysis of Textual Data with Multiple Classes
 SARM - Succinct Association Rule Mining: An Approach to Enhance Association Mining
 Learning the Daily Model of Network Traffic
2B Intelligent Information Systems (2)
 ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams
 Failing Queries in Distributed Autonomous Information System
 Evaluation of Two Systems on Multi-class Multi-label Document Classification
 Uncertain Knowledge Gathering: An Evolutionary Approach
1C Information and Knowledge Integration (1)
 Duality in Knowledge Compilation Techniques
 Data Protection in Distributed Database Systems
……

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