Data Mining in P2P Queries Routing Using Decision Trees

نویسندگان

  • Anis ISMAIL
  • Mohamed QUAFAFOU
  • Mohammad HAJJAR
چکیده

Data mining has been used very frequently to extract hidden information from large databases. This paper suggests a new Peer-to-Peer system that uses decision trees to extract Super-Peers that contain peers that are relevant to a given query. This system is an unstructured P2P system based on an organization of peers around super-peers, connected to Meta-super-peer according to their semantic domains. Our proposal is based on the use of a decision tree maintained by the Meta-super-peers to specify the super-peers that have the peers which may have relevant data to answer to queries.

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تاریخ انتشار 2009