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2009
Springer

An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data

12 years 6 months ago
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations for legal or competition issues. It is based on a novel technique that performs in two stages: first, discovering the knowledge locally and second, merging the distributed knowledge acquired in every location in a common privacy aware maximizing the global accuracy by using evolutionary models. The knowledge obtained in this way improves the one achieved in the local stores, thus it is of interest for the concerned organizations.
Diego M. Escalante, Miguel Angel Rodriguez, Antoni
Added 25 Jul 2010
Updated 25 Jul 2010
Type Conference
Year 2009
Where HAIS
Authors Diego M. Escalante, Miguel Angel Rodriguez, Antonio Peregrín
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