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知识发现和数据开采进展

知识发现和数据开采进展

定 价:¥1016.44

作 者: David Cheung 著
出版社: 湖南文艺出版社
丛编项:
标 签: 暂缺

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ISBN: 9783540419105 出版时间: 2001-12-01 包装: 平装
开本: 页数: 字数:  

内容简介

  This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001.The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.

作者简介

暂缺《知识发现和数据开采进展》作者简介

图书目录

Keynote Presentations
 Incompleteness in Data Mining
 Mining E-Commerce Data: The Good, the Bad, and the Ugly
 Seamless Integration of Data Mining with DBMS and Applications
Web Mining
 Applying Pattern Mining to Web Information Extraction
 Empirical Study of Recommender Systems Using Linear Classifiers
 i JADE eMiner--A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (i JADE) on Internet Shopping
 A Characterized Rating Recommend System
 Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents
Text Mining
 Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification
 Predictive Self-Organizing Networks for Text Categorization
 Meta-learning Models for Automatic Textual Document Categorization
 Efficient Algorithms for Concept Space Construction
Topic Detection,Neural NetworksTracking, and Trend Analysis Using Self-Organizing
 Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps
Applications and Tools
 Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis
 A Toolbox Approach to Flexible and Efficient Data Mining
 Determining Progression in Glaucoma Using Visual Fields
 Seabreeze Prediction Using Bayesian Networks
 Semi-supervised Learning in Medical Image Database
 On Application of Rough Data Mining Methods to Automatic Construction of Student Models
Concept Hierarchies
 Concept Approximation in Concept Lattice
 Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data
 Representing Large Concept Hierarchies Using Lattice Data Structure
Feature Selection
 Feature Selection for Temporal Health Records
……
Interestingness
Sequence4 Mining
Spatial and Temporal Mining
Association Mining
Classification and Rule Induction
Clustering
Advanced Topics and New Methods
Author Index

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