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Handbook of Statistical Analysis and Data Mining Applications

, , and (Eds.). . Academic Press, London, 2 edition, (2017)

Abstract

The second edition of this comprehensive professional reference book 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 several areas---from science and engineering, to medicine, academia and commerce.

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BibTeX key:
NisbetMinerYale2017
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