Handbook of Statistical Analysis and Data Mining Applications

Nisbet, Robert; Elder, John F; Miner, Gary

ISBN 10: 0123747651 / ISBN 13: 9780123747655

Published by Academic Press/Elsevier, Amsterdam, 2009

About this Item

Large black octavo, xxxiv, 824 pages, color illustrations (some b&w), 25 cm + 1 DVD-ROM (4 3/4 in.). Contents: History of phases of data analysis, basic theory, and the data mining process -- The algorithms in data mining and text mining, the organization of the three most common data mining tools, and selected specialized areas using data mining -- Tutorials--step-by-step case studies as a starting point to learn how to do data mining analyses -- Measuring true complexity, the "right model for the right use," top mistakes, and the future of analytics. Data mining -- Statistical methods. Extremely mild rubbing to corners, faint soiling to spine head, exceedingly gentle rubbing to spine foot, else Near Fine(+). First edition, first printing (full number line).

Seller Inventory # 91972

Bibliographic Details

• Title: Handbook of Statistical Analysis and Data Mining Applications
• Publisher: Academic Press/Elsevier, Amsterdam
• Publication Date: 2009
• Language: English
• ISBN 10: 0123747651
• ISBN 13: 9780123747655
• Binding: Hardcover
• Edition: 1st Edition
• Condition: Near Fine(+)
• Seller catalogs:
  • Science, Technology & Computers

About this title

Synopsis

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.

• Written "By Practitioners for Practitioners"


• Non-technical explanations build understanding without jargon and equations


• Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models using Statistica, SAS and SPSS software


• Practical advice from successful real-world implementations


• Includes extensive case studies, examples, MS PowerPoint slides and datasets


• CD-DVD with valuable fully-working  90-day software included:  "Complete Data Miner - QC-Miner - Text Miner" bound with book

About the Author

Robert Nisbet, John Elder, and Gary Miner have been University professors (in Biology, Engineering, and Medicine, respectively) and are skilled at making complex topics understandable.  But what makes this book so unique and useful is their combined century of experience in industry -- where making analytic techniques work on an astonishing array of challenges has saved their clients and sponsors tens of millions of dollars.