文摘
英文文摘
前言
Chapter 1 Introduction
1.1 Motivation and Problem Definition
1.2 Proposed Approach
1.3 System Development Background
1.4 Thesis Organization
Chapter 2 Rationale And Background
2.1 Introduction
2.2 Web Mining and Personalization (Summary and Survey)
2.2.1 Web Mining History
2.2.2 Web Mining Classification
2.3 Web Mining and Agent Paradigm
2.4 Overview of Related Clustering Algorithms
2.4.1 Application of Fuzzy Clustering in Web Mining
2.5 Stop Word Elimination
2.6 Vector Space Method
2.7 Choice of Programming Tools
2.8 Security and Privacy
Chapter 3 System Design and Implementation
3.1 Introduction
3.1.0System structure and main Functions
3.1.1 Information Gathering Module
3.1.2 Content Management Module
3.1.3 Content Mining Module
3.1.4 Content Publishing Module
3.2 PWIS system Implementation
3.2.1 Database Design
3.2.2 Program Struture
3.2.3 File Menu
3.2.4. Gather Menu
3.2.5 Organize Menu
3.2.6 View
3.3 Conclusion of system Design
Chapter 4 Experiments and Illustrations
4.1 Introduction
4.2 Clustering
4.2.1 The Fuzzy c Medoids Algorithm(FCMdd)illustrated
4.2.2 The Vector Space Method Illustrated
4.2.3 Combining base Clusters
4.3 Personalization
4.3.1 Labeling Information Clusters
4.3.2 Inserting and merging information clusters
4.3.3 Annotation
4.4 Tracking
Chapter5 Summary and Future Works
5.1 Summary
5.2 Future Works
5.3 Stream Media Technology
References
致谢
