Data mining via distributed genetic programming agents

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1 Citation (Scopus)

Abstract

Genetic programming is a powerful search method which can be applied to the typical data mining task of finding hidden relations in datasets. We describe the architecture of a distributed data mining system in which genetic programming agents create a large amount of structurally different models which are stored in a model database. A search engine for models that is connected to this database allows interactive exploration and analysis of models, and composition of simple models to hierarchical models. The search engine is the crucial component of the system in the sense that it supports knowledge discovery and paves the way for the goal of finding interesting hidden causal relations.

Original languageEnglish
Title of host publication20th European Modeling and Simulation Symposium, EMSS 2008
PublisherDIPTEM University of Genova
Pages95-99
Number of pages5
ISBN (Print)8890073268, 9788890073267
Publication statusPublished - 2008
Event20th European Modeling and Simulation Symposium, EMSS 2008 - Campora San Giovanni, Amantea, CS, Italy
Duration: 17 Sep 200819 Sep 2008

Publication series

Name20th European Modeling and Simulation Symposium, EMSS 2008

Conference

Conference20th European Modeling and Simulation Symposium, EMSS 2008
CountryItaly
CityCampora San Giovanni, Amantea, CS
Period17.09.200819.09.2008

Keywords

  • Distributed data mining
  • Genetic programming
  • Knowledge discovery

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