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Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture,...
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by Mark F. Hornick, Erik Marcadé, and Sunil Venkayala
Sales Rank: 228288
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Discount: 36 %
List Price: $51.95
$37.40
At Amazon
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Paperback: 544 pages
Publisher: Morgan Kaufmann; 1 edition November 7, 2006
Language: English
ISBN-10: 0123704529
ISBN-13: 978-0123704528
Product Dimensions:
9.1 x 7.4 x 1.1 inches
Shipping Weight: 2 pounds
here
Customer Reviews & Comments
Java Data Mining is a book written for data mining practitioners. Even if the word Java appears in the title, practitioners of other languages or software may be interested by the first part of the book (Strategy), which is really worth reading. The other parts of the book focus on the JDM API itself (Standards), problem solving with case study (Practice) and finally evolution of standards in data mining (Wrapping Up). Data mining is clearly defined and compared with other concepts such as OLAP. A very interesting comparison is made between data mining and gold mining. As written previously, this book is practitioner-oriented. Moreover, the focus is on data mining with customer related information. Another good thing is the data mining glossary at the end of the book which is welcomed. References to Wikipedia are to my opinion not appropriate in a book. Recent improvements have made this encyclopedia more reliable. However, I would never use it as a serious reference since anybody can write articles on it. Strangely, a recurrent mistake regarding the word data (singular instead of plural) has been made. These drawbacks aren't significant in regard to the quality of the book. To conclude, data mining practitioners and people using Java for data mining should really consider this book.
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Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture,...
List Price: $51.95
Discount: 36 %
Available from Amazon
Price: $37.40
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