Rough Sets and Data Mining

Name: Rough Sets and Data Mining
Brand: Springer-Verlag New York Inc.
SKU: 9781461286370
Price: 3937 CZK
Availability: InStock

Analysis of Imprecise Data

Autor: N. Cercone, T. Y. Lin

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele v malém množství

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Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters...

Informace o knize

Autor

N. Cercone, T. Y. Lin

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2011

Stránek

436

EAN

9781461286370

ISBN

1461286379

Enbook ID

06795784

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

680

Rozměry

155 x 235 x 25

Kompletní popis

Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. §The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. §Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.

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Rough Sets and Data Mining

Analysis of Imprecise Data

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