Robust Data Mining - E-book

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Robust Data Mining - ENG

Petros Xanthopoulos; Panos M. Pardalos; Theodore B. Trafalis

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Sinopsis

ISBN:	9781441998781
Formato:	ePub
Idioma:	Inglés
Editorial:	Springer Nature
Tema:	Computadoras
Subtema:	Banco de datos exploración de datos
Año de publicación:	2012-11-28

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 ofÂ robust data mining research field and presents Â the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems. ThisÂ brief will appeal to theoreticians and data miners working in this field.

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