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Design & Implementation of Data Mining Tools

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Authors: Awad M, Latifur Khan, Bhavani Thuraisingham, Lei Wang

ISBN: 9781420045901

Copy Right Year:  2009

Pages:  278

Binding: Soft Cover

Publisher:  Taylor & Francis

SKU: 9781420045901 Category:

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.

Additional information

Weight .3 kg
Dimensions 23 × 16 × 1 cm

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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