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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Alex A. Freitas
€ 124.10
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Description for Data Mining and Knowledge Discovery with Evolutionary Algorithms
Hardback. Integrating two areas of computer science, namely, data mining and evolutionary algorithms (EAs), this book presents a comprehensive review of both data mining and EAs and discusses significant advances in the integration of these two areas. It explains both basic concepts and advanced topics. Series: Natural Computing Series. Num Pages: 279 pages, 10 black & white tables, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 241 x 170 x 22. Weight in Grams: 544.
This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our ... Read more
This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our ... Read more
Product Details
Format
Hardback
Publication date
2002
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
279
Condition
New
Series
Natural Computing Series
Number of Pages
265
Place of Publication
Berlin, Germany
ISBN
9783540433316
SKU
V9783540433316
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Data Mining and Knowledge Discovery with Evolutionary Algorithms
From the reviews: "In the snappily-titled Data Mining and Knowledge Discovery with Evolutionary Algorithms, leading researcher Alex A Freitas introduces both data mining and evolutionary algorithms. … The aim is to introduce and address the key challenges to a high level of detail. With an understanding gleaned from this book, and source code available freely ... Read more