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Number of items: 4.
Book section
| Noda, Edgar and Freitas, Alex A. (2006) Discovering knowledge nuggets with a genetic algorithm. In: Triantaphyllou, Evangelos and Felici, Giovanni, eds. Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques. Massive Computing . Springer, New York, New York (USA), pp. 395-432. ISBN 978-0-387-34294-8. (doi:https://doi.org/10.1007/0-387-34296-6_12) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) |
Conference or workshop item
| Noda, Edgar and Freitas, Alex A. and Yamakami, Akebo (2002) A distributed-population genetic algorithm for discovering interesting prediction rules. In: Benitez, J.M. and Gordon, Oscar, eds. 7th Online World Conference on Soft Computing in Industrial Applications (WSC7). Springer, London pp. 287-296. ISBN 978-1-85233-755-1. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) |
| Noda, Edgar and Freitas, Alex A. and Lopes, Heitor 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). Morgan Kaufmann; 2000, Las Vegas, USA ISBN 1-55860-611-4. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) |
| Noda, Edgar and Freitas, Alex A. and Lopes, Heitor S. (1999) Discovering Interesting Prediction Rules with a Genetic Algorithm. In: Angeline, Peter J., ed. Proceedinds of the 1999 Congress on Evolutionary Computation (CEC-99). IEEE, Washington DC, USA pp. 1322-1329. ISBN 0-7803-5536-9. (doi:https://doi.org/10.1109/CEC.1999.782601) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) |
