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1 of 2 people found the following review helpful:
5.0 out of 5 stars Great textbook, excellent reference !!!
This is a great textbook, and an excellent reference. Mathematical foundations of Data Mining are introduced in great detail. It is worth every penny. It may be the most serious book about data mining ever published.
Published on September 10, 2008 by Mir

versus
3.0 out of 5 stars Good content, but too many typos to learn from
The book has very relevant material for me. But it is a shame to have so many typos.

I find it very hard to learn from the book, because even some theorem statements have crucial errors.

Could someone please suggest a good text book that contains: Set Theory, Partial Orders, and Combinatorics, which is similar to this one? Thanks.
Published 3 months ago by Jian Ye


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3.0 out of 5 stars Good content, but too many typos to learn from, October 9, 2011
By 
Jian Ye (San Leandro, ca United States) - See all my reviews
The book has very relevant material for me. But it is a shame to have so many typos.

I find it very hard to learn from the book, because even some theorem statements have crucial errors.

Could someone please suggest a good text book that contains: Set Theory, Partial Orders, and Combinatorics, which is similar to this one? Thanks.
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1 of 2 people found the following review helpful:
5.0 out of 5 stars Great textbook, excellent reference !!!, September 10, 2008
This review is from: Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing) (Hardcover)
This is a great textbook, and an excellent reference. Mathematical foundations of Data Mining are introduced in great detail. It is worth every penny. It may be the most serious book about data mining ever published.
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