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Advances in knowledge discovery and data mining : 5th Pacific-Asia Conference, PAKDD 2001, Hong Kong, China, April 16-18, 2001 : proceedings by Pacific-Asia Conference on Knowledge Dis...

Book Information

TitleAdvances in knowledge discovery and data mining : 5th Pacific-Asia Conference, PAKDD 2001, Hong Kong, China, April 16-18, 2001 : proceedings
CreatorPacific-Asia Conference on Knowledge Discovery and Data Mining (5th : 2001 : Hong Kong, China), Cheung, David, 1949-, Williams, Graham J, Li, Qing, 1962-
Year2001
PPI300
PublisherBerlin ; New York : Springer
LanguageEnglish
Mediatypetexts
SubjectDatabase management, Database searching, Data mining
ISBN3540419101
Collectionjournals_contributions, journals
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Identifierspringer_10.1007-3-540-45357-1
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Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16–18, 2001 ProceedingsAuthor: David Cheung, Graham J. Williams, Qing Li Published by Springer Berlin Heidelberg ISBN: 978-3-540-41910-5 DOI: 10.1007/3-540-45357-1Table of Contents:Incompleteness in Data Mining Mining E-Commerce Data: The Good, the Bad, and the Ugly Seamless Integration of Data Mining with DBMS and Applications Applying Pattern Mining to Web Information Extraction Empirical Study of Recommender Systems Using Linear Classifiers iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping A Characterized Rating Recommend System Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents 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, Tracking, and Trend Analysis Using Self-Organizing Neural Networks Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps 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, Includes bibliographical references and index