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Data Mining, Second Edition: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) (Hardcover)

by Jiawei Han (Author), Micheline Kamber (Author), Jian Pei (Author)
4.3 out of 5 stars  See all reviews (3 customer reviews)
RRP: £34.99
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Product details

  • Hardcover: 800 pages
  • Publisher: Morgan Kaufmann; 2 edition (4 Jun 2006)
  • Language English
  • ISBN-10: 1558609016
  • ISBN-13: 978-1558609013
  • Product Dimensions: 23.6 x 19.8 x 4.1 cm
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon.co.uk Sales Rank: 43,814 in Books (See Bestsellers in Books)

    Popular in these categories:

    #2 in  Books > Computing & Internet > Databases > Data Storage & Management > Data Mining
    #5 in  Books > Science & Nature > Popular Science > Artificial Intelligence
    #23 in  Books > Computing & Internet > Computer Science > Algorithms > Artificial Intelligence

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Product Description

Review

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

Review

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
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Customer Reviews

3 Reviews
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Average Customer Review
4.3 out of 5 stars (3 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
4 of 4 people found the following review helpful:
5.0 out of 5 stars An excellent data mining book, 12 Mar 2004
By A Customer
This review is from: Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) (Hardcover)
If you are interesting to understand the principles of data mining in large corporate databases, then this book should be your first choice. It presents dozens of algorithms and implementation examples -in pseudocode- .

The book takes the reader through the whole processes of knowledge discovery in large database, explaining each process in great details and answering why it needs to be done. The book has a good coverage of data preparation/preprocessing, association rules, classification and prediction, and cluster analysis.

If you are looking for a book that covers advance topics in data mining such as time-series databases, text-databases, spatial databases, then, you need to look for another book that covers them in more details. However, this book needs to be in your bookshelf as the basis for understanding data mining in large database.

In general, the book is easy to read with many diagrams illustrating the concepts. Also, it provides the reader with the current trend research areas in data mining.

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4 of 4 people found the following review helpful:
5.0 out of 5 stars Very Good, 17 Feb 2004
By Chris (Europe) - See all my reviews
This review is from: Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) (Hardcover)
This is a very good book, with thourough explanations
Altough I initialy used as a classbook, I still found it useful for researching and application develoment.
It doesn't assume any knowledge in this field but still is not boring for people already aware of data mining principles.
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3.0 out of 5 stars Overview, 28 Oct 2009
By Eng Nuno R. Ferreira (Portugal) - See all my reviews
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I thought the book was a bit more detailed, with some examples, althougth, it explains well dataminig terms.
It's indicated for someone that it's starting in the area
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