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Principles of Data Mining (Adaptive Computation and Machine Learning)
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Author: David J. Hand, Heikki Mannila, Padhraic Smyth
List Price: $58.00
Our Price: Click to see the latest and low price
ISBN: 026208290X
Publisher: MIT Press (01 August, 2001)
Edition: Hardcover
Sales Rank: 23,606
Average Customer Rating: 3.58 out of 5
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Customer ReviewsRating: 5 out of 5
A wonderful book but not a cookbook
I am a professional data miner (20 yrs. experience) and data mining can be a treacherous business compared to conventional statistical analysis. There are many software packages that offer the novice a seemingly plethora of "information-extracting" tools. There is a tendency in the field to regard one or another of these as the final and eternal answer to a particular objective. This is the best guide so far in assisting the novice data miner in avoiding dumb mistakes and selecting the strongest analytical tool suited to data structure and objectives.This book can be read and understood by anyone who has had a decent basic course in statistics or or in pattern recognition. It alerts the reader to potential pitfalls in using a particular data mining procedure. It also clearly describes essential differences between procedures. Examples from real data are clear and integrated with the text. This is not a "cookbook" that teaches you keystroke by keystroke how to implement an algorithm. Instead this book is a guide in understanding the fundamentals behind each procedure (as good as possible assuming low level math skills), and hints on interpetation of output, especially limits to interpretation. It is very well written and can stand alone as a guide or serve as a testbook in a data mining class. Now if they would just write a book on bayesian decision-making in the same way.
Rating: 1 out of 5
This is NOT a Data Mining Book .. But a bad statistics book
Finally .. I recevie the book .. I read the list of content and I surprised about it .. and now I know why they dont write the contents here to read before bying the book ..
This is a bad statistics book, you can read any thing in it except about Data Mining ... No Cluster Analysis .. No Nural Networks .. No Rule induction No Dicecion Trees .. Nothing and nothing and nothing ...
And I want to sell this bad book which Name is Data Mining ... for the three lier writers.
Mustafa Ebaid
Rating: 1 out of 5
This is a Bad Statistics Book Not a Data Mining Book
Finally .. I recevie the book .. I read the list of content and I surprised about it .. and now I know why they dont write the contents here to read before bying the book ..
This is a bad statistics book, you can read any thing in it except about Data Mining ... No Cluster Analysis .. No Nural Networks .. No Rule induction No Dicecion Trees .. Nothing and nothing and nothing ...
And I want to sell this bad book which Name is Data Mining ... for the three lier writers.
Mustafa Ebaid
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