 |  | Data Mining: Concepts, Models, Methods, and Algorithms Mehmed Kantardzic ISBN: 0-471-22852-4 Paperback 360 pages October 2002, Wiley-IEEE Press |
CDN $96.99
- Data mining describes the often complex and sophisticated tools used in automatic data analysis such as analyzing a customer's previous buying habits
- Emphasizes the selection of appropriate methodologies and data analysis software, as well as parameter tuning
- Describes representative state-of-the-art methods and algorithms originating from different disciplines
- Offers guidance on how and when to use a particular software tool from among the hundreds offered when faced with a data set to mine
- A Wiley-IEEE Press Publication
- To view the solutions manual, visit ftp://ftp.wiley.com/public/sci_tech_med/data_mining/
“...clear and well understandable...recommended as basic guidance...practitioners will profit from the author's long experience..." (Zentralblatt Math, Vol. 1027, 2004)
“...reviews state-of-the-art techniques for analyzing enormous quantities of raw data...” (Quarterly of Applied Mathematics, Vol. LXI, No. 3, September 2003)
"…this is a comprehensive textbook that describes the process and methodologies of data mining in an unbiased manner…serves as an excellent starting point for anyone wishing to learn about data mining.” (Journal of Proteome Research, May/ June 2003)
"...a valuable book.... I truly enjoyed reading the book and I am glad to recommend it to anyone working in this fascinating field." (IIE Transactions)
"...detailed, well illustrated, and easy to understand...comprehensive…a good book..." (Mathematical Reviews 2003h)
"...this is probably the first data-mining book that I would select from my bookshelf as reading material for a statistician..." (Technometrics, Vol. 45, No. 3, August 2003)
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