Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/7D9E4380-B83E-4DAF-B5DA-B1B3D879CD03 | - |
| Identifier | http://link.springer.com/article/10.1007/s10898-005-6152-y | - |
| Identifier | https://doi.org/10.1007/s10898-005-6152-y | - |
| Language | en | - |
| Extent | 18 pages | en |
| Title | An experimental evaluation of some classification methods | en |
| Creator | Michael Doumpos | en |
| Creator | Δουμπος Μιχαλης | el |
| Creator | Zopounidis Konstantinos | en |
| Creator | Ζοπουνιδης Κωνσταντινος | el |
| Creator | Chatzi E. | en |
| Publisher | Springer Verlag | en |
| Content Summary | 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. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-18 | - |
| Date of Publication | 2006 | - |
| Subject | Machine learning | en |
| Subject | Classification | en |
| Subject | Monte Carlo simulation | en |
| Subject | Multicriteria decision aid | en |
| Subject | Statistical techniques | en |
| Bibliographic Citation | 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 | en |
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