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Robust Data Mining

Language EnglishEnglish
Book Paperback
Book Robust Data Mining Petros Xanthopoulos
Libristo code: 01424628
Publishers Springer, Berlin, December 2012
Data uncertainty is a concept closely related with most real life applications that involve data col... Full description
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Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise.§This work encapsulates all the latest applications of robust optimization in data mining. This brief contains an overview of the rapidly growing field of robust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems. §This brief will appeal to theoreticians and data miners working in this field.§

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About the book

Full name Robust Data Mining
Author Petros Xanthopoulos, Panos M. Pardalos, Theodore B. Trafalis
Language English
Binding Book - Paperback
Date of issue 2013
Number of pages 59
EAN 9781441998774
ISBN 1441998772
Libristo code 01424628
Publishers Springer, Berlin
Weight 127
Dimensions 172 x 236 x 6

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Mathematics & Science > Mathematics > Optimization
Mathematics & Science > Mathematics > Applied mathematics
Computing & Information Technology > Computer programming / software engineering > Software Engineering
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Operating systems
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