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Handbook of Statistical Analysis and Data Mining Applications (Hardback)
  • Handbook of Statistical Analysis and Data Mining Applications (Hardback)
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Handbook of Statistical Analysis and Data Mining Applications (Hardback)

(author), (editor), (editor)
£67.99
Hardback 864 Pages / Published: 19/08/2009
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The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.

Publisher: Elsevier Science Publishing Co Inc
ISBN: 9780123747655
Number of pages: 864
Weight: 1470 g
Dimensions: 235 x 191 x 38 mm


MEDIA REVIEWS
"Great introduction to the real-world process of data mining. The overviews, practical advise, tutorials, and extra CD material make this book an invaluable resource for both new and experienced data miners." - Karl Rexer, PhD (President & Founder of Rexer Analytics, Boston, Massachusetts) If you want to roll-up your sleeves and execute on predictive analytics, this is your definite, go-to resource. To put it lightly, if this book isn't on your shelf, you're not a data miner. - Eric Siegel, Ph.D., President, Prediction Impact, Inc. and Founding Chair, Predictive Analytics World

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