Agent-based learning classifier systems for grid data mining
Grid Data Mining tools must be able to cope with very large, high dimensional and, frequently heterogeneous data sets that are geographically distributed and stored in different types of repositories, produced from different devices and retrieved through different protocols. This paper presents an a...
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| Outros Autores: | , |
| Formato: | conferencePaper |
| Idioma: | por |
| Publicado em: |
2006
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/5925 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/5925 |