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Practical Data Mining (English): Book by Monte F. Hancock, Jr.

Practical Data Mining (English)

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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.
Monte F. Hancock, Jr., BA, MS, is Chief Scientist for Celestech, Inc., which has offices in Falls Church, Virginia, and Phoenix, Arizona. He was also a Technical... Read more
Monte F. Hancock, Jr., BA, MS, is Chief Scientist for Celestech, Inc., which has offices in Falls Church, Virginia, and Phoenix, Arizona. He was also a Technical Fellow at Northrop Grumman; Chief Cognitive Research Scientist for CSI, Inc., and was a software architect and engineer at Harris corporation, and HRB Singer, Inc. He has over 30 years of industry experience in software engineering and data mining technology development. He is also Adjunct Full Professor of Computer Science for the Webster University Space Coast Region, where he serves as Program Mentor for the Master of Science Degree in Computer Science. Monte has served for 26 years on the adjunct faculty in the Mathematics and Computer Science Department of the Hamilton Holt School of Rollins College, Winter Park, Florida, and served 3 semesters as adjunct Instructor in Computer Science at Pennsylvania State University. Monte teaches secondary Mathematics, AP Physics, Chemistry, Logic, Western Philosophy, and Church History at New Covenant School, and New Testament Greek at Heritage Christian Academy, both in Melbourne, Florida. He was a mathematics curriculum developer for the Department of Continuing Education of the University of Florida in Gainesville, and serves on the Industry Advisory Panels in Computer Science for both the Florida Institute of Technology, and Brevard Community College in Melbourne, Florida. Monte has twice served on panels for the National Science Foundation. Monte has served on many program committees for international data mining conferences, was a Session Chair for KDD. He has presented 15 conference papers, edited several book chapters, and co-authored the book Data Mining Explained with Rhonda Delmater, Digital Press, 2001. Monte is cited in (among others): "Who’s Who in the World" (2009–2012) "Who’s Who in America" (2009–2012) "Who’s Who in Science and Engineering" (2006–2012) "Who’s Who in the Media and Communication" (1st ed.) "Who’s Who in the South and Southwest" (23rd–25th ed.) "Who’s Who Among America’s Teachers" (2006, 2007) "Who’s Who in Science and Theology" (2nd ed.)
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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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