Higher Education

Data Mining: Methods and Techniques

Author(s): A B M Shawkat Ali | Saleh A. Wasimi

ISBN: 9788131509517

1st Edition

Copyright: 2007

India Release: 2009

₹935

Binding: Paperback

Pages: 312

Trim Size: 241 x 181 mm

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The book has been written to serve as a textbook on data mining at an introductory level. Each chapter has been written as lecture material for one week. The software product that is used throughout the textbook is WEKA because, not only is it good but it is also free, and students can ill-afford a software package that costs money. A good understanding of spreadsheets is necessary to work through the exercises.

  • Clearly stated learning objectives at the beginning of each chapter to guide students on expected outcomes.
  • A dedicated list of important terms at the end of each chapter.
  • Chapter-end review questions to reinforce key concepts and terminology.

1. Fundamentals of data mining

2. Data processing and data warehouses

3 Weka an attractive data mining tool

4. The classification task

5. Artificial neural networks and support vector machines

6. Model evaluation techniques

7. Association rule mining

8. The clustering task

9. The estimation task

10. Mining of time series

11. Text and Web mining

12. Privacy, security and ethical issues in data mining

 A B M Shawkat Ali

School of Computing Sciences

Faculty of Business and Informatics

Central Queensland University

Rockhampton 4702, Australia

 

Saleh A. Wasimi

School of Computing Sciences

Faculty of Business and Informatics

Central Queensland University

Rockhampton 4702, Australia