Evolutionary Computation In Data Mining
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Evolutionary Computation In Data Mining
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.
- 品牌: Springer Nature B.V
- 类别: 计算机与互联网
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语言: English
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作者: Springer Nature B.V
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出版日期: 2014-11-15
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页数: 288
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出版社／标签: Springer Nature B.V
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格式: Paperback
- Fruugo ID: 557257141-1125527018
- ISBN: 9783642421952
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