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Data Mining
Cios, Krzysztof J.; Pedrycz, Witold; Swiniarski, Roman W.; Kurgan, Lukasz
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Description for Data Mining
Hardback. This comprehensive textbook on data mining details the unique steps of the knowledge discovery process - an industry standard that prescribes the sequence in which projects should be performed, from data understanding and preprocessing to deployment of the results. Num Pages: 621 pages, biography. BIC Classification: UNC; UYQM. Category: (P) Professional & Vocational; (UF) Further/Higher Education. Dimension: 259 x 187 x 33. Weight in Grams: 1210.
“If you torture the data long enough, Nature will confess,” said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, “long enough” may, in practice, be “too long” in many applications and thus unacceptable. Second, to get “confession” from large data sets one needs to use state-of-the-art “torturing” tools. Third, Nature is very stubborn — not yielding easily or unwilling to reveal its secrets at all. Fortunately, while being aware of the above facts, the reader (a data miner) will find several efficient data mining tools described in this excellent ... Read more
“If you torture the data long enough, Nature will confess,” said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, “long enough” may, in practice, be “too long” in many applications and thus unacceptable. Second, to get “confession” from large data sets one needs to use state-of-the-art “torturing” tools. Third, Nature is very stubborn — not yielding easily or unwilling to reveal its secrets at all. Fortunately, while being aware of the above facts, the reader (a data miner) will find several efficient data mining tools described in this excellent ... Read more
Product Details
Format
Hardback
Publication date
2007
Publisher
Springer-Verlag New York Inc. United States
Number of pages
621
Condition
New
Number of Pages
606
Place of Publication
New York, NY, United States
ISBN
9780387333335
SKU
V9780387333335
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Data Mining
From the reviews: “This is a comprehensive book about knowledge discovery methods. … the book is highly recommended to final year undergraduate students, postgraduate students and lecturers. … it has a good balance of various topics making it a good reference book for practitioners, such as data modellers, insight analysts, fraud analysts, etc., as well as researchers. … this ... Read more