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Practical Data Mining (English)
By: Monte F. Hancock, Jr.
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ISBN: 9781439868362 Publisher: Taylor & Francis Ltd (Sales)
Year of publishing: 2011 Format: Hardcover
No of Pages: 302 Language: English
e business case developed and assessed? What are the skills needed for different data mining projects? How do I track and evaluate data mining projects? How do I choose the best data mining techniques?...Read more
e business case developed and assessed? What are the skills needed for different data mining projects? How do I track and evaluate data mining projects? How do I choose the best data mining techniques? 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. Visit the book's webpage for access to additional resources--including checklists, figures, PowerPoint slides, and a small set of simple prototype data mining tools. http://www.celestech.com/PracticalDataMining
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About the author: Monte F. Hancock, Jr.
Review:Achieves a unique and delicate balance between depth, breadth, and clarity. -Stefan Joe-Yen, Cognitive Research Engineer, Northrop Grumman Corporation & Adjunct Professor, Department of Computer...Read more
Achieves a unique and delicate balance between depth, breadth, and clarity. -Stefan Joe-Yen, Cognitive Research Engineer, Northrop Grumman Corporation & Adjunct Professor, Department of Computer Science, Webster University Used as a primer for the recent graduate or as a refresher for the grizzled veteran, Practical Data Mining is a must-have book for anyone in the field of data mining and analytics. -Chad Sessions, Program Manager, Advanced Analytics Group (AAG)
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