Handbook of Statistical Analysis and Data Mining Applications Ebook

Publication: Academic Press
 
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Language: English
Publication Date: May 2009
Pages: 864
File Size: 386279 Kbytes

Restrictions set by Publisher:
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  • You will need a Free 3rd-party application that can read the intermediate .acsm file you will receive as download. PDF/Epub format is downloaded automatically by the application thereafter. Please install the necessary software first on your intended device of use.
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  • Refund Policy
    Refunds are not allowed after the ebook is opened so please open the ebook directly on your intended device. Refund requests should be recieved within 7 days after download is made available. Of course, if you get an incorrect ebook ( different from what is mentioned in the title) or if the ebook doesn't open on the initial device, then we'll assist with fixing the issue or get you a refund if a timely fix isn't available.
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Language: English
Publication Date: May 2009
File Size: 23580 Kbytes

Restrictions set by Publisher:
- Text-to-speech feature not available.
- Printing is permitted.
- You can copy text from file.
- Free application Adobe Digital Editions, Aldiko reader, or Bluefire reader required .
$92.95
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ISBN: 9780080912035   Should I buy this Ebook?   Write a Review

Description

(E-Books do not include any DVD or CD with the purchase.)

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
  • 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

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Handbook of Statistical Analysis and Data Mining Applications