Impact of Data Characteristics on Feature Selection Techniques Performance

Oreski Dijana ()
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Oreski Dijana: University of Zagreb, Faculty of Organization and Informatics, Varazdin, Pavlinska 2

Research Papers Faculty of Materials Science and Technology Slovak University of Technology, 2013, vol. 21, issue Special-Issue, 84-89

Abstract: Feature selection is a step in knowledge discovery in databases which takes away most of the time of the entire process. Therefore, the effective implementation of feature selection significantly improves the overall process. This paper suggests examining data characteristics before applying feature selection and hypothesize that data characteristics significantly affect feature selection techniques performance. Our experimental comparison of five previously used feature selection techniques reveals significant difference in feature selection techniques performance when dealing with data sets of different characteristics

Keywords: feature selection; data characteristics; classification accuracy (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:repfms:v:21:y:2013:i:special_issue:p:84-89:n:14

DOI: 10.2478/rput-2013-0014

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