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- 304 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Practical Data Mining
Book details
Table of contents
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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 & Databases. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Front Cover
- Contents
- Dedication
- Preface
- About the Author
- Acknowledgments
- Chapter 1: What Is Data Mining and What Can It Do?
- Chapter 2: The Data Mining Process
- Chapter 3: Problem Definition (Step 1)
- Chapter 4: Data Evaluation (Step 2)
- Chapter 5: Feature Extraction and Enhancement (Step 3)
- Chapter 6: Prototyping Plan and Model Development (Step 4)
- Chapter 7: Model Evaluation (Step 5)
- Chapter 8: Implementation (Step 6)
- Chapter 9: Supervised Learning Genre Section 1—Detecting and Characterizing Known Patterns
- Chapter 10: Forensic Analysis Genre Section 2—Detecting, Characterizing, and Exploiting Hidden Patterns
- Chapter 11: Genre Section 3—Knowledge: Its Acquisition, Representation, and Use
- References
- Glossary