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An experimental evaluation of some classification methods

Michael Doumpos, Zopounidis Konstantinos, Chatzi E.

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/7D9E4380-B83E-4DAF-B5DA-B1B3D879CD03
Έτος 2006
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά M. Doumpos, E. Chatzi and C. Zopounidis, "An experimental evaluation of some classification methods," J. Global Optimizat., vol. 36, no. 1, pp. 33-50, Sep. 2006. doi:10.1007/s10898-005-6152-y https://doi.org/10.1007/s10898-005-6152-y
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Περίληψη

The classification problem is of major importance to a plethora of research fields. The outgrowth in the development of classification methods has led to the development of several techniques. The objective of this research is to provide some insight on the relative performance of some well-known classification methods, through an experimental analysis covering data sets with different characteristics. The methods used in the analysis include statistical techniques, machine learning methods and multicriteria decision aid. The results of the study can be used to support the design of classification systems and the identification of the proper methods that could be used given the data characteristics.

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