Grid data mining by means of learning classifier systems and distributed model induction
This paper introduces a distributed data mining approach suited to grid computing environments based on a supervised learning classifier system. Different methods of merging data mining models generated at different distributed sites are explored. Centralized Data Mining (CDM) is a conventional meth...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2011
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/15195 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/15195 |