• DocumentCode
    3416011
  • Title

    Research on knowledge retrieval by leveraging data mining techniques

  • Author

    Hao, Yan ; Zhang, Yu-feng

  • Author_Institution
    Comput. Sch., Wuhan Univ., Wuhan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    9-10 Oct. 2010
  • Firstpage
    479
  • Lastpage
    484
  • Abstract
    This paper proposes a knowledge retrieval model combining knowledge search with data mining technologies. In this model, data mining is integrated into the whole retrieval procedure of query optimizing, searching, results analyzing, and resources constructing. It realizes knowledge retrieval by various approaches, different levels, and multi-modes, and significantly improves knowledge retrieval level and efficiency. Furthermore, we explore related knowledge retrieval methods and algorithms including association analysis-based concept retrieval and inductive learning-based classification retrieval, and validate them experimentally.
  • Keywords
    data mining; information retrieval; association analysis-based concept retrieval; data mining; knowledge retrieval; knowledge search; learning-based classification retrieval; query optimization; Algorithm design and analysis; Biomedical imaging; Ferroelectric films; Nonvolatile memory; Ontologies; Random access memory; Semantics; Data mining; Knowledge retrieval; Retrieval algorithm; Retrieval model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology and Management Engineering (FITME), 2010 International Conference on
  • Conference_Location
    Changzhou
  • Print_ISBN
    978-1-4244-9087-5
  • Type

    conf

  • DOI
    10.1109/FITME.2010.5656554
  • Filename
    5656554