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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Main Authors | , , , , |
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Format | eBook Book |
Language | English |
Published |
London
Academic Press
2018
Elsevier Science & Technology |
Edition | 2 |
Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | ncludes bibliographical references and index Guest authors of selected chapters: John Elder, Andy Peterson |
ISBN: | 0124166326 9780124166325 |