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Data Mining: Introductory and Advanced Topics

Margaret H. Dunham




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 | #966125 in Books |  2002-09-01 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.00 x.70 x6.90l,1.41 | File type: PDF | 315 pages

||0 of 0 people found the following review helpful.| Best Data Mining Books i've read.|By Chris|I had to buy several books for my Data mining course. This one is basically a boiled down accumulation of what's in larger books. It covers in 3 pages what larger books take 10-15 to say.

If this is your only book you'll end up having to look up a lot of stuff to understand some of the examples, but I'm really glad I got it| || |"It is the best book on data mining so far, and I would definitely adopt it for my course. The book is very comprehensive and covers all of the data mining topics and algorithms of which 1 am aware. The depth of coverage of each topic or method is exactly r

Thorough in its coverage from basic to advanced topics, this book presents the key algorithms and techniques used in data mining. An emphasis is placed on the use of data mining concepts in real world applications with large database components. Includes unique chapters on Web mining, spatial mining, temporal mining, and prototypes and DM products. Separate case studies section highlights real world applications. An excellent reference book...

You can specify the type of files you want, for your device.Data Mining: Introductory and Advanced Topics   |  Margaret H. Dunham. Just read it with an open mind because none of us really know.

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