Handbook of statistical analysis and data mining applications

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 str...

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Bibliographic Details
Main Authors: Nisbet, Robert, Miner, Gary, Yale, Ken, Elder, John, Peterson, Andy
Format: eBook Book
Language:English
Published: London Academic Press 2018
Elsevier Science & Technology
Edition:2
Subjects:
Data mining
Data mining > Statistical methods
Statistical methods
Statistics
ISBN:0124166326, 9780124166325
Online Access:Get full text
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Description
Summary: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.
Bibliography:ncludes bibliographical references and index
Guest authors of selected chapters: John Elder, Andy Peterson
ISBN:0124166326
9780124166325