Téléchargez le livre : Robust Data Mining

Robust Data Mining

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Éditeur :

Springer


Collection :

SpringerBriefs in Optimization

Paru le : 2012-11-28

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Description

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.
Pages
59 pages
Collection
SpringerBriefs in Optimization
Parution
2012-11-28
Marque
Springer
EAN papier
9781441998774
EAN EPUB
9781441998781
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
645 Ko
Prix
52,74 €

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