On the Use of Clustering in Possibilistic Decision Tree Induction

Author:

Jenhani Ilyes,Benferhat Salem,Elouedi Zied

Publisher

Springer Berlin Heidelberg

Reference23 articles.

1. Ben Amor, N., Benferhat, S., Elouedi, Z.: Qualitative classification and evaluation in possibilistic decision trees. In: FUZZ-IEEE 2004, pp. 653–657 (2004)

2. Blockeel, H., Page, D., Srinivasan, A.: Multi-instance tree learning. In: Proceedings of the 22nd international conference on Machine learning, Bonn, Germany, pp. 57–64 (2005)

3. Borgelt, C., Gebhardt, J., Kruse, R.: Concepts for Probabilistic and Possibilistic Induction of Decision Trees on Real World Data. In: EUFIT 1996, pp. 1556–1560 (1996)

4. Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J.: Classification and regression trees. Wadsworth & Brooks, Monterey (1984)

5. Dasarathy, B.V.: Nearest Neighbour(NN) norms: NN pattern classification techniques. IEEE Computer sociaty Press, Los Alamitos (1991)

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