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Number of items: 4.

Book section

Noda, E. and Freitas, A.A. (2006) Discovering knowledge nuggets with a genetic algorithm. In: Triantaphyllou, E. and Felici, G., eds. Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques. Massive Computing . Springer, New York, New York (USA), pp. 395-432. ISBN 9780387342948. The full text of this publication is not available from this repository.

Conference or workshop item

Noda, E. and Freitas, A.A. and Yamakami, Akebo (2002) A distributed-population genetic algorithm for discovering interesting prediction rules. In: Benitez, J.M. and Gordon, Oscar, eds. Advances in Soft Computing. Springer, London pp. 287-296. ISBN 978-1-85233-755-1. The full text of this publication is not available from this repository.

Noda, E. and Freitas, A.A. and Lopes, H.S. (2000) Comparing a genetic algorithm with a rule induction algorithm in the data mining task of dependence modeling. In: Proc 2000 Genetic and Evolutionary Computation Conf (GECCO-2000). The full text of this publication is not available from this repository.

Noda, E. and Freitas, A.A. and Lopes, H.S. (1999) Discovering Interesting Prediction Rules with a Genetic Algorithm. In: Proceedinds of the 1999 Congress on Evolutionary Computation (CEC-99), July 6-9 1999, Washington, DC, USA. The full text of this publication is not available from this repository.

This list was generated on Sat May 25 02:51:40 2013 BST.