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Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management...
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by Jiawei Han and Micheline Kamber
Sales Rank: 343808
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Discount: 14 %
$4.42
At Amazon
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Hardcover: 500 pages
Publisher: Morgan Kaufmann; 1st edition August 2000
Language: English
ISBN-10: 1558604898
ISBN-13: 978-1558604896
Product Dimensions:
9.4 x 7.5 x 1.2 inches
Shipping Weight: 2.6 pounds
Product Review
"many excellent features" -- Tony Jenkins,Vice Chairman, British Computer Society's, Data Management Specialist Group
Product Review
"many excellent features" -- Tony Jenkins,Vice Chairman, British Computer Society's, Data Management Specialist Group
Customer Reviews & Comments
There are a number of books on data mining. The vast majority of them are non-technical in the sense that they talk a great deal about how data mining is a glorious area, without ever getting into the nitty gritty of how data mining algorithms actually work. There are also a couple of technical textbooks on data mining that are nothing more than mistitled books on machine learning (yes, I know, the ML arena does contribute a lot towards data mining). This is the first true textbook on data mining algorithms and techniques. It covers a vast array of topics and does ample justice to the vast majority of them. In fact, it even covers semi-automated (OLAP) technologies for data mining. The book consistently uses data from a single (fictitious) organization to illustrate most concepts. This gives a strong sense of cohesion to can actually be very different techniques. One key aspect of the book is its question-and-answer format. The main arguments in favor of such a format are (1) it is a clean way introduce a new topic or concept (2) students love it when things are laid out for them. On the other hand, such an approach seems inappropriate for a graduate level text. This book is certain to become "the standard" data mining textbook. Update (Dec 25, 2004): My opinion about this book has changed over time. I've left the 5-start rating in place, although my current rating for the book is 4 (or even 3.5) stars. The main reason is that I had to supplement most of the chapters in the book with the original research papers to give my students a more complete picture of data mining (in other words, the material can be a bit shallow).
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Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management...
Discount: 14 %
Available from Amazon
Price: $4.42
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