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Capítulo de Libro
An evolutionary algorithm to discover numeric association rules
(2002)
Association rules are one of the most used tools to discover relationships among attributes in a database. Nowadays, there are many efficient techniques to obtain these rules, although most of them require that the values ...
Capítulo de Libro
Mining interesting regions using an evolutionary algorithm
(2002)
In this paper, we offer a new method to induce interesting knowledge from the relevant sets of data in databases for supervised learning. Thus, in this work, ELLIPSES is presented as a new method oriented to discover ...
Capítulo de Libro
Prototype-based mining of numeric data streams
(2003)
Great organizations collect open-ended and time-changing data received at a high speed. The possibility of extracting useful knowledge from these potentially infinite databases is a new challenge in Data Mining. In this ...