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3 Reviews
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2 of 2 people found the following review helpful:
5.0 out of 5 stars
Excellent coverage & depth,
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Amazon Verified Purchase(What's this?)
This review is from: Principles of Data Mining (Undergraduate Topics in Computer Science) (Paperback)
I bought this book for self-study and I am very surprised by the clarity and 'just-nice' amount of depth and coverage on the topic.
I pretty much able to understand most of the content by reading the book and wiki on the more difficult topic.
2 of 2 people found the following review helpful:
4.0 out of 5 stars
Introduction,
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This review is from: Principles of Data Mining (Undergraduate Topics in Computer Science) (Paperback)
This is an undergraduate introduction to data mining. The book doesn't go into details. It may be suitable for people who want to get a quick feel of the data mining field. People who need more details shall read more serious and comprehensive introductions. Overall I am giving 4 stars, because I liked it.
3 of 4 people found the following review helpful:
5.0 out of 5 stars
excellent introduction,
By Steve (Denver, CO) - See all my reviews
Amazon Verified Purchase(What's this?)
This review is from: Principles of Data Mining (Undergraduate Topics in Computer Science) (Paperback)
This book is an excellent introduction to data mining, concentrating primarily on decision tree induction. The material provided is presented clearly with no assumption of prior knowledge on the part of the reader. A weakness of the book is that it doesn't place the material provided within the larger context of machine learning, both in terms of breadth or depth. However, when used as a textbook the instructor could easily address this problem.
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Principles of Data Mining (Undergraduate Topics in Computer Science) by M. A. Bramer (Paperback - March 28, 2007)
$44.95 $32.91
In Stock | ||