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Principles of Data Mining (Undergraduate Topics in Computer Science)

Max Bramer




[PDF.pi06] Principles of Data Mining (Undergraduate Topics in Computer Science)

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 | #1271349 in Books |  2013-02-25 |  2013-02-25 | Original language:English | PDF # 1 |  9.25 x1.03 x6.10l,1.40 | File type: PDF | 440 pages

||2 of 3 people found the following review helpful.| Informative and Easy to Read|By EST|Unlike most technical books, this is very well written. Generally it was very clear and the information was presented in an interesting way. I expect his students enjoy the class. I had some trouble with one of the chapters, so I won't say this book is perfect, but it is still one of the best technical books I've seen.|0 of 1 people found| ||From the reviews of the second edition:“This book introduces the concept of data mining and explains the various techniques involved. … This book is written primarily as a text for a course on data mining. The rich pedagogical features, including

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed worked examples, with a focus on algorithms rather than mathematical formalism. It is written ...

You easily download any file type for your device.Principles of Data Mining (Undergraduate Topics in Computer Science)   |  Max Bramer.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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