Fuzzy modeling and bayesian inference network

Data mining is an evolving and growing area of research and involves interdisciplinary research and development encompassing diverse domains. In this age of multimedia data exploration, data mining should no longer be restricted to the mining of knowledge from large volumes of high-dimensional data sets in traditional databases only. The aim of the paper is to present guidelines in fuzzy modeling, fuzzy clustering and the design of Bayesian inference networks

MoreLess

Year of publication:	2007
Authors:	STATE, Luminita ; COCIANU, Catalina ; STEFANESCU, Viorica ; VLAMOS, Panayiotis
Published in:	Informatica Economica. - Academia de Studii Economice din Bucureşti, ISSN 1453-1305. - Vol. XI.2007, 4, p. 68-71
Publisher:	Academia de Studii Economice din Bucureşti
Subject:	fuzzy modeling \| fuzzy clustering \| c-means algorithm \| Bayesian networks

More details

Extent:	application/pdf
Type of publication:	Article
Language:	English
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009416405