Data Mining Decision Trees in Economy

Laviniu-Aurelian Badulescu () and Adrian Nicula

MPRA Paper from University Library of Munich, Germany

Abstract: Data Mining represents the extraction previously unknown, and potentially useful information from data. Using Data Mining Decision Trees techniques our investigation tries to illustrate how to extract meaningful socio-economical knowledge from large data sets. Our tests find 5 attributes selection measures that perform more accurate then the best performance of the 17 algorithms presented in literature.

Keywords: Data Mining; Decision Trees; classification error rate (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Date: 2007-05-25
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Published in Analele Universitatii din Oradea, Stiinte Economice XVI.II(2007): pp. 723-727

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