Practical Data Mining

Author:   Jr. Hancock
Publisher:   Taylor & Francis Inc
ISBN:  

9781439868362


Pages:   302
Publication Date:   19 December 2011
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Practical Data Mining


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Full Product Details

Author:   Jr. Hancock
Publisher:   Taylor & Francis Inc
Imprint:   Taylor & Francis Inc
Dimensions:   Width: 15.60cm , Height: 1.80cm , Length: 23.40cm
Weight:   0.720kg
ISBN:  

9781439868362


ISBN 10:   1439868360
Pages:   302
Publication Date:   19 December 2011
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Reviews

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 UniversityUsed 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)


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)


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)


Author Information

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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