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Evolutionary Computation in Data Mining
. Ed(S): Ghosh, Ashish; Jain, Prof. Lakhmi C.
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Description for Evolutionary Computation in Data Mining
Hardback. Editor(s): Ghosh, Ashish; Jain, Prof. Lakhmi C. Series: Studies in Fuzziness and Soft Computing. Num Pages: 266 pages, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 581.
Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should ... Read more
Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should ... Read more
Product Details
Format
Hardback
Publication date
2004
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
266
Condition
New
Series
Studies in Fuzziness and Soft Computing
Number of Pages
266
Place of Publication
Berlin, Germany
ISBN
9783540223702
SKU
V9783540223702
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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