Rough Sets and Data Mining

Name: Rough Sets and Data Mining
Brand: Springer
SKU: 9780792398073
Price: 829.14 RON
Availability: InStock

Analysis of Imprecise Data

Autor: T.Y. Lin, N. Cercone

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Legare: Copertă tare

Editura: Springer

Disponibilitate: În depozitul extern

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

Informații despre carte

Autor

T.Y. Lin, N. Cercone

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1996

Pagini

436

EAN

9780792398073

ISBN

0792398076

Enbook ID

01398469

Editura

Springer

Greutate

1780

Dimensiuni

156 x 234 x 29

Descriere completă

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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