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Data Mining With Neural Networks: Solving Business Problems from Application Development to Decision Support Paperback – May 20, 1996


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Product Details

  • Paperback: 220 pages
  • Publisher: Mcgraw-Hill (Tx) (May 20, 1996)
  • Language: English
  • ISBN-10: 0070057796
  • ISBN-13: 978-0070057791
  • Product Dimensions: 0.5 x 6.2 x 9.2 inches
  • Shipping Weight: 7.2 ounces
  • Average Customer Review: 2.8 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #2,896,374 in Books (See Top 100 in Books)

Editorial Reviews

Amazon.com Review

Is your organization storing huge quantities of data that could be useful--but you don't know where to start? Do you have information about customers, distributors, markets, and competitors that you are not using to full advantage? And are you personally more interested in strategic applications and general overviews than mind-numbing equations and printouts of code?

If so, Data Mining with Neural Networks is the book for you. Written for a business audience, it explains how your company can mine a vast amount of data and transform it into strategic action. Highly Recommended for any company that wants to develop sound plans based on powerful quantitatitive and analytical methods.

Review

"The book's organization is splendid... Good practical points are made in this book." -- Computer Review, 5/97

Data mining is enabling businesses and consumer marketers to improve distribution, specialize direct mail targets, and develop a new outlook on consumer behavior. -- Wall Street Journal

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Customer Reviews

2.8 out of 5 stars
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Most Helpful Customer Reviews

15 of 16 people found the following review helpful By Gustavo Denicolay on September 5, 1999
Format: Paperback
This is one of the worst books on data mining available. It is not intended for marketers nor researchers. You don't need any knowledge about neural networks and -even worse- you will not learn anything. It only talks about the IBM Neural Network Utility. If you are a business man look for 'Data Mining Techniques' from Michael J. A. Berry If you are a math man looking for a good text on neural networks see 'Neural Networks' from Simon Haykin.
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8 of 8 people found the following review helpful By Megan Squire on June 7, 2001
Format: Paperback
The cover of this book clearly states that it is intended for "Solving Business Problems - from Application Development to Decision Support". The back of the book states that it is a "practical, accessible guide for business executives..."
This is not a book for developers unless they are just getting started and have never heard of neural nets or data mining. I found this little book helpful for providing easy-to-understand reviews for beginning AI students and non-technical business people.
Some of the other reviewers of this book are unfairly slamming this book for not being technical enough, when clearly that is not the intention of the book. There are no formulae in this book, but there are some nice diagrams that get the point across for beginners. The chapter on agents seemed a little misplaced, but otherwise, for learning about neural nets, this is not a bad book. For a pure biz-oriented "intro to data mining" I prefer the Adriaans book, however.
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7 of 7 people found the following review helpful By A Customer on July 14, 1999
Format: Paperback
The Amazon.com review of this book (see above) says "are you personally more interested in strategic applications and general overviews than mind-numbing equations and printouts of code?". A good general overview does not have to contain printouts of code and mind-numbing equations, but it does have more substance and conceptual information than this "business week" like book long article. That's the point. The contents of this book would be fine for a business magazine article but not for a book. Too much prose and at the end not even an intelligent reader can make sense of what is really feasible with this technology and how it can be approached. There are much better general data mining books in the market, books without codes and weird equations for the mathematical illiterate, but with strong conceptual explanations and fundations. See, for instance, "Data Mining" by Pieter Adriaans for a much better book.
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3 of 4 people found the following review helpful By A Customer on September 29, 1997
Format: Paperback
If you do not like math and would like to know about neural networks, then this is it. The book is very explanatory, it is designed for starters and you get a very good feeling about what neural networks are and how they work. Do not expect, however, that you will be able to design one after reading the book.
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