Advances in knowledge discovery and data mining : 5th Pacific Asia Conference, PAKDD 2001, Hong Kong, China, A
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Author: Pacific-Asia Conference on Knowledge Discovery and Data Mining (5th : 2001 : Hong Kong, China), Cheung, David, 1949-, Williams, Graham J, Li, Qing, 1962-
Added by: sketch
Added Date: 2015-12-30
Language: eng
Subjects: Database management, Database searching, Data mining
Publishers: Berlin ; New York : Springer
Collections: journals contributions, journals
ISBN Number: 3540419101
Pages Count: 300
PPI Count: 300
PDF Count: 1
Total Size: 303.12 MB
PDF Size: 8.1 MB
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Edition: [Elektronische Ressource]
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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
Author: David Cheung, Graham J. Williams, Qing Li
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-41910-5
DOI: 10.1007/3-540-45357-1
Table of Contents:
Includes bibliographical references and index
Author: David Cheung, Graham J. Williams, Qing Li
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-41910-5
DOI: 10.1007/3-540-45357-1
Table 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
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