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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Bibliographic Details
Main Author: Santos, Manuel Filipe (author)
Other Authors: Quintela, Hélder (author), Neves, José (author)
Format: conferencePaper
Language:por
Published: 2006
Subjects:
Learning classifier systems
Grid data mining
Distributed systems
Machine learning
Agent-based systems
Online Access:http://hdl.handle.net/1822/5925
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/5925

Internet

http://hdl.handle.net/1822/5925

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