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Rough Sets and Data Mining
. Ed(S): Lin, T. Y.; Cercone, Nick
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Description for Rough Sets and Data Mining
Paperback. Editor(s): Lin, T. Y.; Cercone, Nick. Num Pages: 436 pages, biography. BIC Classification: PBC; UMB; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 23. Weight in Grams: 679.
Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases.
The contributing authors consist of some of ... Read more
Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases.
The contributing authors consist of some of ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
436
Condition
New
Number of Pages
436
Place of Publication
New York, NY, United States
ISBN
9781461286370
SKU
V9781461286370
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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