Practical Data Mining
eBook - PDF

Practical Data Mining

  1. 304 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Practical Data Mining

About this book

Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely adrift in tech

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Yes, you can access Practical Data Mining by Jr., Monte F. Hancock in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Contents
  3. Dedication
  4. Preface
  5. About the Author
  6. Acknowledgments
  7. Chapter 1: What Is Data Mining and What Can It Do?
  8. Chapter 2: The Data Mining Process
  9. Chapter 3: Problem Definition (Step 1)
  10. Chapter 4: Data Evaluation (Step 2)
  11. Chapter 5: Feature Extraction and Enhancement (Step 3)
  12. Chapter 6: Prototyping Plan and Model Development (Step 4)
  13. Chapter 7: Model Evaluation (Step 5)
  14. Chapter 8: Implementation (Step 6)
  15. Chapter 9: Supervised Learning Genre Section 1—Detecting and Characterizing Known Patterns
  16. Chapter 10: Forensic Analysis Genre Section 2—Detecting, Characterizing, and Exploiting Hidden Patterns
  17. Chapter 11: Genre Section 3—Knowledge: Its Acquisition, Representation, and Use
  18. References
  19. Glossary