Description
Focusing on three applications of data mining. Design and Implementation of Data Mining Tools explains how to create and employ systems and tools for intrusion detection, Web page surfing prediction, and image classification. Based mainly on the authors own research work, the book takes a practical approach to the subject.
The first part of the book reviews data mining techniques, such as artificial neural networks and support vector machines, as well as data mining applications. The second section covers the design and implementation of data mining tools for intrusion detection. It examines various designs and performance result, along with the strengths and weaknesses of the approaches. The third part presents techniques to solve the WWW prediction problem. The final part describes models that the authors have developed for image classification.
Table of Content
Introduction
Part I Data Mining Techniques and Applications
Data Mining Techniques
Data Mining Applications
Part II Data Mining Tool for Intrusion Detection
Data Mining for Security Applications
Dynamics Growing Self-Organizing Tree Algorithm
Data Reduction Using Hierarchical Clustering and Rocchio Bundling
Intrusion Detection Results
Part III Data Mining Tool for Web Page Surfing Prediction
Web Data Management and Mining
Effective Web Page Prediction Using Hybrid Model
Multiple Evidence Combination for WWW Prediction
WWW Prediction Results
Part IV Data Mining Tool for Image Classification
Multimedia Data Management and Mining
Image Classification Models
Subspace Clustering and Automatic Image Annotation
Enhanced Weighted Feature Selection
Image Classification and Performance Analysis
Summary and Directions
Appendix A: Data Management Systems: Development and Trends
Index
About The Author
Mamoun Awad, Ph.D., joined the University of the United Arab Emirates in August 2006. He received his Ph.D. in software engineering at the University of Texas at Dallas in 2005 and was a postdoctoral research fellow also at the University of Texas at Dallas. His research interests are in data mining, software engineering, and information security. He has published papers in several journals and conferences including the VLDB journal.
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