Kniha Robust Data Mining Petros Xanthopoulos

Robust Data Mining

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 147
Data uncertainty is a concept closely related with most real life applications that involve data col...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2013
Stránek
59
EAN
9781441998774
ISBN
1441998772
Enbook ID
01424628
Vydavatel
Hmotnost
127
Rozměry
172 x 236 x 6

Kompletní popis

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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