Data Mining and Knowledge Management数据开采和知识管理

出版社:北京燕山出版社
出版日期:2005-3
ISBN:9783540239871
页数:262页

书籍目录

Keynote Lectures  Visualization-Based Data Mining Tool and Its Web Application  Knowledge Management, Habitual Domains, and Innovation Dynamics  Knowledge-Information Circulation Through the Enterprise Forward to the Roots of Knowledge ManagementData Mining Methodology  A Hybrid Nonlinear Classifier Based on Generalized Choquet Integrals  Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization  Solving Discriminant Models Using Interior Point Algorithm  A Method for Solving Optimization Problem in Continuous Space Using Improved Ant Colony AlgorithmPractical Issues of Data Mining  Data Set Balancing  Computation of Least Square Estimates Without Matrix Manipulation  Ensuring Serializability for Mobile Data Mining on Multimedia ObjectsData Mining Applications  Data Mining Approach in Scientific Research Organizations Evaluation Via Clustering  Heuristics to Scenario-Based Capacity Expansion Problem of PWB Assembly Systems  A Multiple-Criteria Quadratic Programming Approach to Network Intrusion Detection  Classifications of Credit Cardholder Behavior by Using Multiple Criteria Non-linear Programming  Multiple Criteria Linear Programming Data Mining Approach: An Application for Bankruptcy Prediction  Knowledge Management for Enterprise  Coordination and Cooperation in Manufacturer-Retailer Supply Chains  Development of Enterprises' Capability Based on Cooperative KnowledgeNetwork  Information Mechanism, Knowledge Management and Arrangement of Corporate Strategem  ……Risk ManagementAuthor Tndex

作者简介

This book constitutes the thoroughly refereed post-proceedings of the Chinese Academy of Sciences Symposium on Data Mining and Knowledge Discovery CASDMKD 2004, held in Beijing, China in July 2004.    The 25 revised full papers presented together with 3 invited keynote papers were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on data mining methodology, practical issues, data mining for bioinformatics, data mining applications, enterprise knowledge management, risk management, and integration of data mining and knowledge management.


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