- Hardcover: 800 pages
- Publisher: Morgan Kaufmann; 2 edition (January 13, 2006)
- Language: English
- ISBN-10: 1558609016
- ISBN-13: 978-1558609013
- Product Dimensions: 9.8 x 7.3 x 1.5 inches
- Shipping Weight: 4.6 pounds (View shipping rates and policies)
- Average Customer Review: 13 customer reviews
- Amazon Best Sellers Rank: #964,636 in Books (See Top 100 in Books)
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Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) 2nd Edition
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"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
Highly anticipated second edition of the definitive reference on data mining by the top authority.
Top customer reviews
Further, this is not a book you are likely to read for pleasure, for either the prose or the presentation. If you are not professionally involved, you neither need nor want it.
Nevertheless, given all those reservations, I'm happy to have it on the shelf.
I recommend this book for anyone who is interested to learn analytics. Book for everyday use if you are an analyst.
I love this book, haven't read it completely though.