Pattern Recognition Algorithms for Data Mining
eBook - PDF

Pattern Recognition Algorithms for Data Mining

  1. 280 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Pattern Recognition Algorithms for Data Mining

Book details
Table of contents
Citations

About This Book

This valuable text addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. The authors proceed to analyze the tasks of multi-scale data condensation and dimensionality reduction. Then they explore the problem of learning with support vector machine (SVM), and conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Pattern Recognition Algorithms for Data Mining by Sankar K. Pal, Pabitra Mitra in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2004
ISBN
9780203998076
Edition
1
Topic
Computer Science
Subtopic
Computer Science General
Index
Computer Science

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Contents
  5. Foreword
  6. Foreword
  7. Foreword
  8. Preface
  9. List of Tables
  10. List of Figures
  11. Chapter 1: Introduction
  12. Chapter 2: Multiscale Data Condensation
  13. Chapter 3: Unsupervised Feature Selection
  14. Chapter 4: Active Learning Using Support Vector Machine
  15. Chapter 5: Rough-fuzzy Case Generation
  16. Chapter 6: Rough-fuzzy Clustering
  17. Chapter 7: Rough Self-Organizing Map
  18. Chapter 8: Classification, Rule Generation and Evaluation using Modular Rough-fuzzy MLP
  19. Appendix A: Role of Soft-Computing Tools in KDD
  20. Appendix B: Data Sets Used in Experiments
  21. References
  22. Index
  23. About the Authors