知识发现和数据开采进展Advances in knowledge discovery and data mining
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作者： David Cheung著
出 版 社： 湖南文艺出版社
出版时间： 2001-12-1字数：版次： 1页数： 596印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540419105包装： 平装编辑推荐
LNBI is devoted to the publication of state-of-the-art research results in bio-informatics and computational biology, at a high level and in both printed and electronic versions - making use of the well-established LNCS publication machinery. As with the LNCS mother series, refereed proceedings and post- proceedings are at the core of LNBI, however, similar to the color cover sub- lines in LNCS, tutorials and state-of-the-art surveys are also invited for LNBI. Among the topics covered are：
Genomics；Molecular sequence analysis；Recognition of genes and regulatory elements；Molecular evolution；Protein structure；Gene expression；Gene networks；Combinatorial libraries and drug design；Computational proteomics.
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.
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 JavaAgent Development Environment (i JADE) on Internet Shopping
A Characterized Rating Recommend System
Discovery of Frequent Tree Structured Patterns in Semistructured WebDocuments
Text Mining
Text Categorization Using Weight Adjusted k-NearestNeighbor 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 bySelf-Organizing Maps
Applications and Tools
Semantic Expectation-Based Causation Knowledge Extraction: A Studyon 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 AutomaticConstruction of Student Models
Concept Hierarchies
Concept Approximation in Concept Lattice
Generating Concept Hierarchies/Networks: Mining Additional Semanticsin 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