Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/29D53579-23C0-41DC-9F17-06164EF8A8CF | - |
| Identifier | https://doi.org/10.1007/3-540-56602-3_159 | - |
| Language | en | - |
| Title | IDDD: An inductive, domain dependent decision algorithm | en |
| Creator | Moustakis Vasilis | en |
| Creator | Μουστακης Βασιλης | el |
| Creator | S. Orphanoudakis | en |
| Creator | G. Charissis | en |
| Creator | L. Gaga | en |
| Publisher | Springer Verlag | en |
| Content Summary | Decision tree induction, as supported by id3, is a well known approach of heuristic classification. In this paper we introduce mother-child relationships to model dependencies between attributes which are used to represent, training examples. Such relationships are implemented via iddd which extends the original id3 algorithm. The application of iddd is demonstrated via a series of concept acquisition experiments using a ‘real-world’ medical domain. Results demonstrate that the application of iddd contributes to the acquisition of more domain relevant knowledge as compared to knowledge induced by id3 itself. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-04 | - |
| Date of Publication | 1993 | - |
| Bibliographic Citation | L. Gaga, V. Moustakis, G. Charissis and S. Orphanoudakis, "IDDD: An Inductive Domain Dependent Algorithm," in European Conference on Machine Learning, 1993, pp. 408-413. doi: 10.1007/3-540-56602-3_159 | en |
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