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Florin Gorunescu - Data Mining - 9783642197208 - V9783642197208
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Data Mining

€ 201.25
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Description for Data Mining Hardback. Offering a self-contained introduction to data mining, this book presents the concepts, models and techniques for data mining in a well organized style. Both theoretical concepts and, especially, practical techniques of this exciting field are provided. Series: Intelligent Systems Reference Library. Num Pages: 372 pages, biography. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 22. Weight in Grams: 1540.

The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical ... Read more

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Product Details

Format
Hardback
Publication date
2011
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
372
Condition
New
Series
Intelligent Systems Reference Library
Number of Pages
360
Place of Publication
Berlin, Germany
ISBN
9783642197208
SKU
V9783642197208
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Data Mining
From the reviews: “Provides a gentle introduction to a fascinating and emerging research area. … provide an easy-to-read ‘compass’ to lead readers though the basic principles. … material presented is comprehensive and covers every aspect of data mining. … Ample examples give readers an appreciation for how the methodologies can be applied in real-life situations … . bibliography will ... Read more

Goodreads reviews for Data Mining


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