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Handbook of statistical analysis and data mining applications. (Second edition)

Miner, Gary(Edited by)Nisbet, Robert(Edited by)Yale, Ken(Edited by)
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Handbook of Statistical Analysis and Data Mining Applications, Second Edition, 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 users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application.

This book is an ideal reference for users who want 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.



  • Includes input by practitioners for practitioners
  • Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models
  • Contains practical advice from successful real-world implementations
  • Includes extensive case studies, examples, MS PowerPoint slides and datasets, along with a CD-DVD with valuable fully working 90-day software
  • Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions

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Product Details
Academic Press
0124166458 / 9780124166455
eBook (Adobe Pdf, EPUB)
09/11/2017
English
783 pages
Copy: 10%; print: 10%
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