Methods for Extracting Knowledge

The paper describes some methods of extracting knowledge from large amounts of data, and also the concepts of classification, regression and clustering. In terms of classification, it describes some of the techniques and methods, namely the decision trees, the Bayesian method, k-NN, etc. The steps of a process solving clustering and the K-means algorithm used are also described.

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Year of publication:	2013
Authors:	Stancu, Ana-Maria Ramona ; Dragut, Bogdanel Marian ; Perez-Danielescu, Dominic
Published in:	Knowledge Horizons - Economics. - Facultatea de Finante, Banci si Contabilitate. - Vol. 5.2013, 2, p. 201-204
Publisher:	Facultatea de Finante, Banci si Contabilitate
Subject:	Data Mining (DM) \| knowledge \| classification \| regression \| modeling \| trees \| methods \| clustering

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Extent:	application/pdf text/html
Type of publication:	Article
Classification:	C88 - Other Computer Software
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010700137