Design and Implementation of Data Mining Tools

Based on the authors' own research work, this book explains how to create and employ systems and tools for intrusion detection, Web page surfing prediction, and image classification. Focusing on three applications of data mining, the book takes a practical approach to the subject. A hands-on gu...

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Bibliographic Details
Main Authors Thuraisingham, Bhavani, Khan, Latifur, Awad, Mamoun, Wang, Lei
Format eBook Book
LanguageEnglish
Published Boca Raton, Fla Auerbach Publications 2009
CRC Press
Auerbach Publishers, Incorporated
Edition1
Subjects
Data mining
Www Prediction
Automatic Image Annotation
Image Annotation
Data Mining
SVM
Markov Model
Image Classification
Data Mining Tool
KNN Classifier
Botnet Detection
Data Mining Techniques
Web Data Management
Subspace Clustering Algorithm
Multimedia Data
Intrusion Detection
Association Rule Mining
Malicious Code Detection
RBF Kernel
Web Data Mining
Web Usage Mining
MIT Lincoln Lab
SVM Training
Dempster’s Rule
Mine Multimedia Data
Subspace Clustering
Online AccessGet full text
ISBN1420045903
9781420045901
DOI10.1201/9781420045918

Cover

Table of Contents:
  • Front cover -- Dedication -- Contents -- Preface -- About the Authors -- Acknowledgments -- Chapter 1. Introduction -- Chapter 2. Data Mining Techniques -- Chapter 3. Data Mining Applications -- Chapter 4. Data Mining for Security Applications -- Chapter 5. Dynamic Growing Self-Organizing Tree Algorithm -- Chapter 6. Data Reduction Using Hierarchical Clustering and Rocchio Bundling -- Chapter 7. Intrusion Detection Results -- Chapter 8. Web Data Management and Mining -- Chapter 9. Effective Web Page Prediction Using Hybrid Model -- Chapter 10. Multiple Evidence Combination for WWW Prediction -- Chapter 11. WWW Prediction Results -- Chapter 12. Multimedia Data Management and Mining -- Chapter 13. Image Classification Models -- Chapter 14. Subspace Clustering and Automatic Image Annotation -- Chapter 15. Enhanced Weighted Feature Selection -- Chapter 16. Image Classification and Performance Analysis -- Chapter 17. Summary and Directions -- APPENDIX A -- Data Management Systems: Developments and Trends -- Index -- Back cover