PERFORMANCE EVALUATION OF THE DATA MINING CLASSIFICATION METHODS

The paper aims to analyze how the performance evaluation of different classification models from data mining process. Classification is the most widely used data mining technique of supervised learning. This is the process of identifying a set of features and templates that describe the data classes or concepts. We applied various classification algorithms on different data sets to streamline and improve the algorithm performance.

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Year of publication:	2014
Authors:	OPREA, CRISTINA
Published in:	Annals - Economy Series. - Facultatea de Ştiinţe Economice şi Gestiunea Afacerilor, ISSN 1844-7007. - Vol. Special.2014, May, p. 249-253
Publisher:	Facultatea de Ştiinţe Economice şi Gestiunea Afacerilor
Subject:	classification \| mining techniques \| algorithms \| cost-sensitive \| ROC curve

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

Persistent link: https://www.econbiz.de/10011185295