1997-12-01
Bayesian Networks in a Data Mining tool
Publication
Publication
Presented at the
Jornades d'Inteligencia Artificial: Noves Tendencies, University of Lleida, Spain
The growing area of Data Mining defines a general framework for the induction of models from databases. Bayesian Networks are a class of graphical models which are able to deal with uncertainty. Nowadays, they are among the most promising ones. This paper summarizes our work on recovering Bayesian Networks in the framework of Data Mining, by commenting and discussing the insight gained in developing a Bayesian Network induction module in an existing Data Mining tool, Data Surveyor.
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| Jornades d'Inteligencia Artificial: Noves Tendencies | |
| Organisation | Database Architectures |
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Castelo, J. R., & Siebes, A. (1997). Bayesian Networks in a Data Mining tool. In Proceedings of Jornades d'Inteligencia Artificial: Noves Tendencies, in Bulletin of the ACIA 1997 (0) (pp. 70–78). |
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