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Data Mining
 
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Data Mining (Paperback)

by Pieter Adriaans (Author), Dolf Zantinge (Author)
4.0 out of 5 stars See all reviews (2 customer reviews)
Price: £30.99 & this item Delivered FREE in the UK with Super Saver Delivery. See details and conditions
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Product details

  • Paperback: 176 pages
  • Publisher: Addison Wesley (9 Dec 1996)
  • Language English
  • ISBN-10: 0201403803
  • ISBN-13: 978-0201403800
  • Product Dimensions: 23.4 x 15.5 x 1.1 cm
  • Average Customer Review: 4.0 out of 5 stars See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 1,203,453 in Books (See Bestsellers in Books)

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    #87 in  Books > Computing & Internet > Databases > Data Storage & Management > Data Mining

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Product Description

Product Description
Data Mining deals with discovering hidden knowlege, unexpected patterns.It is currently regarded as the key element of a much more involved process called knowledge discovery. Setting up a data mining environment is not a trivial task.This book aims to provide essential insights and guidelines to help you make the right decisions when setting up a data mining environment.It deals with the following questions

What is Data Mining?
Which techniques are suitable for my data?
How do I set up a data mining environment?
How do I justify the costs?

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2 of 2 people found the following review helpful:
5.0 out of 5 stars Ala Atar - An excellent overview of Data Mining, 5 Sep 1999
By A Customer
This is the right book if you would like to know what are data mining, database, and KDD. Very easy to follow, it explains with great clarity all the concepts related to data mining, plus other related concepts such learning algorithms, Why SQL is not the rigth tool for mining deeper knowledge. As I am novice to data mining, the book allows me to get interested in data mining, because of its clear approach to explain basic concepts of data mining....
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1 of 1 people found the following review helpful:
3.0 out of 5 stars Treat as interesting overview - lacking detail, 21 Mar 2002
Adriaans+Zantinge draw from their breadth of experience to paint an interesting overview of what data mining is considered to be, as well as the limits of what is not. Illustrations are pulled from a variety of areas.

As a taster and an outline, it was good, but as a practitioner, I hunted through to find their insights or any 'meat', but went away hungry...so treat this as a management summary, or a capability overview if you're interested in data mining, or to gen up on what's going on in the commercial applications now...

[Tim Monk has 9 years of commercial database analysis experience and is currently data mining analyst with a US financial services corporation]

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