Outputs (2)

Particle swarm and Bayesian networks applied to attribute selection for protein functional classification (2007)
Book Chapter
Correa, E., Freitas, A., & Johnson, C. (2007). Particle swarm and Bayesian networks applied to attribute selection for protein functional classification. In Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07 (2651). ACM Digital Library. https://doi.org/10.1145/1274000.1274081

The Discrete Particle Swarm (DPSO) algorithm is an optimizationmethod that belongs to the fertile paradigm of Swarm Intelligence. The DPSO was designed for the task of attribute selection and it deals with discrete variables in a straightforward mann... Read More about Particle swarm and Bayesian networks applied to attribute selection for protein functional classification.

Integrating Bayesian networks and Simpson's paradox in data mining (2007)
Book Chapter
Freitas, A., McGarry, K., & Correa, E. (2007). Integrating Bayesian networks and Simpson's paradox in data mining. In F. Russo, & J. Williamson (Eds.), Causality and Probability in the Sciences (43-62). United Kingdom: College Publications

This paper proposes to integrate two very different kinds of methods for data mining, namely the construction of Bayesian networks from data and the detection of occurrences of Simpson’s paradox. The former aims at discovering potentially causal know... Read More about Integrating Bayesian networks and Simpson's paradox in data mining.