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Practical Data Mining

Practical Data Mining

Latest Research Book in Practical Data Mining

Author(s) Name:  Monte F. Hancock, Jr.

About the Book:

   The book explains 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 technical waters.
   Revealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, Practical Data Mining explains the ins-and-outs of the detection, characterization, and exploitation of actionable patterns in data. This working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process.
   Helping you avoid common mistakes, the book describes specific genres of data mining practice. Most chapters contain one or more case studies with detailed projects descriptions, methods used, challenges encountered, and results obtained. The book includes working checklists for each phase of the data mining process. Your passport to successful technical and planning discussions with management, senior scientists, and customers, these checklists lay out the right questions to ask and the right points to make from an insider-s point of view.

Table of Contents

  • What Is Data Mining and What Can It Do? The Data Mining Process
  • Problem Definition (Step 1)
  • Data Evaluation (Step 2)
  • Feature Extraction and Enhancement (Step 3)
  • Prototyping Plan and Model Development (Step 4)
  • Model Evaluation (Step 5)
  • Implementation (Step 6)
  • Supervised Learning Genre Section 1—Detecting and Characterizing Known Patterns
  • Forensic Analysis Genre Section 2—Detecting, Characterizing, and Exploiting Hidden Patterns
  • ISBN:   9781439868362

    Publisher:  Auerbach Publications

    Year of Publication:   2011

    Book Link:  Home Page Url