• DocumentCode
    2054441
  • Title

    Personalized Data Mining Based on Ontology and Agent

  • Author

    Han, Guilai ; Jiao, Anquan

  • Author_Institution
    Fac. of Inf. Technol., Hainan Med. Coll., Haikou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    14-15 Aug. 2010
  • Firstpage
    55
  • Lastpage
    56
  • Abstract
    Data mining aims to mine the latent and worthy information from a large amount of data, however customers usually can´t express their needs accurately or data resources were not defined specifically, it is often for people to obtain the useful data as well as plentiful of the useless data. Introducing ontology and agent into data mining, Ontology may carry on a more explicit definition in the semantic level, and Agent can help users study, and enable them to define their own demands more precisely, attaining to provide personalized data mining services. Finally, A workflow of personalized data mining based on ontology and agent is Introduced.
  • Keywords
    data mining; multi-agent systems; ontologies (artificial intelligence); agent; data resources; ontology; personalized data mining; Computers; Data mining; Databases; Ontologies; Semantics; Vocabulary; Ontology; agent; data mining; personalized;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering (ICIE), 2010 WASE International Conference on
  • Conference_Location
    Beidaihe, Hebei
  • Print_ISBN
    978-1-4244-7506-3
  • Electronic_ISBN
    978-1-4244-7507-0
  • Type

    conf

  • DOI
    10.1109/ICIE.2010.109
  • Filename
    5571235