Rough Sets and Data Mining

Name: Rough Sets and Data Mining
Brand: Springer
SKU: 9780792398073
Price: 3426 CZK
Availability: InStock

Analysis of Imprecise Data

Autor: T.Y. Lin, N. Cercone

Jazyk:

Vazba: Pevná

Vydavatel: Springer

Dostupnost: Skladem u dodavatele

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

Informace o knize

Autor

T.Y. Lin, N. Cercone

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

1996

Stránek

436

EAN

9780792398073

ISBN

0792398076

Enbook ID

01398469

Vydavatel

Springer

Hmotnost

1780

Rozměry

156 x 234 x 29

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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Kompletní popis

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