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Instance Selection and Construction for Data Mining
. Ed(S): Liu, Huan; Motoda, H.
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Description for Instance Selection and Construction for Data Mining
Hardback. The ability to analyze and understand massive data sets lags far behind the ability to gather and store the data. To meet this challenge, knowledge discovery and data mining (KDD) is growing as an emerging field. This volume brings researchers and practitioners together to report developments and focuses on the development of instance selection. Editor(s): Liu, Huan; Motoda, H. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 416 pages, biography. BIC Classification: UN; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 25. Weight in Grams: 807.
The ability to analyze and understand massive data sets lags far behind the ability to gather and store the data. To meet this challenge, knowledge discovery and data mining (KDD) is growing rapidly as an emerging field. However, no matter how powerful computers are now or will be in the future, KDD researchers and practitioners must consider how to manage ever-growing data which is, ironically, due to the extensive use of computers and ease of data collection with computers. Many different approaches have been used to address the data explosion issue, such ... Read more
The ability to analyze and understand massive data sets lags far behind the ability to gather and store the data. To meet this challenge, knowledge discovery and data mining (KDD) is growing rapidly as an emerging field. However, no matter how powerful computers are now or will be in the future, KDD researchers and practitioners must consider how to manage ever-growing data which is, ironically, due to the extensive use of computers and ease of data collection with computers. Many different approaches have been used to address the data explosion issue, such ... Read more
Product Details
Format
Hardback
Publication date
2001
Publisher
Kluwer Academic Publishers United States
Number of pages
416
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
416
Place of Publication
Dordrecht, Netherlands
ISBN
9780792372097
SKU
V9780792372097
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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