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Seven Methods for Transforming Corporate Data Into Business Intelligence (Paperback)

by Vasant Dhar (Author), Roger Stein (Author)
4.5 out of 5 stars See all reviews (11 customer reviews)


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Editorial Reviews

Book Info
Presents highly visual and up-to-date coverage of all major AI techniques, including genetic algorithms, neural networks, rule-based systems, fuzzy logic, case-based systems, and machine reading algorithms. Paper.

From the Back Cover
Today's knowledge-intensive decision support tools can make organizations dramatically more intelligent, by utilizing the information organizations already possess, taking advantage of today's increasingly widespread data mining and warehousing systems, and leveraging mature and powerful artificial intelligence technologies. This is the first book to cover these new approaches in depth, for both the business decision maker and the technologist. Authors Vasant Dhar and Roger Stein are leading practitioners of AI in the financial services industry. They present detailed, up-to-date coverage of all major AI techniques, including genetic algorithms, neural networks, rule-based systems, fuzzy logic, case-based systems and machine learning algorithms. They discuss advanced OLAP and data warehousing systems, and show how to select the most appropriate tool for each business challenge. The book includes detailed checklists of key organizational and technical issues to consider, several practical case studies, and a common methodology and analysis techniques.

Product Details

  • Paperback: 269 pages
  • Publisher: Prentice Hall; 1st edition (December 6, 1996)
  • Language: English
  • ISBN-10: 0132820064
  • ISBN-13: 978-0132820066
  • Product Dimensions: 9.2 x 7 x 0.6 inches
  • Shipping Weight: 14.4 ounces
  • Average Customer Review: 4.5 out of 5 stars See all reviews (11 customer reviews)
  • Amazon.com Sales Rank: #685,025 in Books (See Bestsellers in Books)
    (Publishers and authors: Improve Your Sales)

Look Inside This Book
Browse Sample Pages:
Front Cover | Table of Contents | Excerpt | Index | Back Cover