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Data Mining, Second Edition, Second Edition : Concepts and Techniques (The Morgan Kaufmann...
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by Jiawei Han and Micheline Kamber
Sales Rank: 35444
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Discount: 25 %
List Price: $64.95
$51.96
At Amazon
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Hardcover: 800 pages
Publisher: Morgan Kaufmann; 2 edition November 3, 2005
Language: English
ISBN-10: 1558609016
ISBN-13: 978-1558609013
Product Dimensions:
9.3 x 7.8 x 1.6 inches
Shipping Weight: 4.6 pounds
Product Review
"Now, for the first time, there is an outstanding text on data mining which covers the science as well as the process in a comprehensive manner and with great lucidity." --Laks Lakshmanan, Concordia University, on the 1st ed:
The second edition of Han and Kamber Data Mining: Concepts and Techniques updates and improves the already comprehensive coverage of the first edition and adds coverage of new and important topics, such as mining stream data, mining social networks, and mining spatial, multi-media and other complex data. This book will be an excellent textbook for courses on Data Mining and Knowledge Discovery.Gregory Piatetsky-Shapiro, President, KDnuggets
The second edition is the most complete and up-to-date presentation on this topic. Compared to the already comprehensive and thorough coverage of the first edition it adds the state-of-the-art research results in new topics such as mining stream, time-series and sequence data as well as mining spatial, multimedia, text and web data. This book is a "must have" for all instructors, researchers, developers and users in the area of data mining and knowledge discovery. Hans-Peter Kriegel, University of Munich, Germany
Product Review
"many excellent features" -- Tony Jenkins,Vice Chairman, British Computer Society's, Data Management Specialist Group
--This text refers to the
Hardcover
edition.
Customer Reviews & Comments
This review is from: Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) (Hardcover)
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, Second Edition, Second Edition : Concepts and Techniques (The Morgan Kaufmann...
List Price: $64.95
Discount: 25 %
Available from Amazon
Price: $51.96
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