FCACO: Fuzzy Classification Rules Mining Algorithm with Ant Colony Optimization

Author:

Alatas Bilal,Akin Erhan

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. Dorigo, M., Maziezzo, V., Colorni, A.: The Ant System: Optimization by a Colony of Cooperating Ants. IEEE Trans. on Systems, Man and Cybernetics B 26(1), 29–41 (1996)

2. Parpinelli, R.S., Lopes, H.S., Freitas, A.A.: An Ant Colony Based System for Data Mining: Applications to Medical Data. In: GECCO Proceedings USA, pp. 791–798 (2001)

3. Parpinelli, R.S., Lopes, H.S.: Freitas. A.A.: An Ant Colony Algorithm for Classification Rule Discovery. In: Abbas, H.A., Sarker, R.A., Newton, C.S. (eds.) Data Mining: A Heuristic Approach, pp. 190–208. Idea Group Publishing, London (2002)

4. Liu, B., Abbass, H.A., McKay, B.: Classification Rule Discovery with Ant Colony Optimization. IEEE Computational Intelligence Bulletin 3(1) (2004)

5. Galea, M.: Applying Swarm Intelligence to Rule Induction. MSc Artificial Intelligence. Divison of Informatics University of Edinburgh (2002)

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