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.
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
9579.
Length: Date of creation: 25 May 2007 Date of revision: Publication status: Published in Analele Universitatii din Oradea, Stiinte Economice XVI.II(2007): pp. 723-727 Handle: RePEc:pra:mprapa:9579
Find related papers by JEL classification: C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
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