Title: Handbook of statistical analysis and data mining applications
Author: Robert Nisbet, John Elder, Gary Miner
Subject: Statistics, Data Mining
Language:English
Publisher: Elsevier
Pages:860
Description:
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.
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