• DocumentCode
    2386832
  • Title

    Concept Mining Using Association Rule and Combinatorial Topology

  • Author

    Sutojo, Albert

  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    341
  • Lastpage
    341
  • Abstract
    The collection of concepts in a document set can be represented by a geometric structure called simplicial complex of combinatorial topology where each keyword is represented as a vertex and the relation between keywords as simplex. A simplex which consists of more than one keyword is a high-frequency keywordset. These keywords occur close to each other within a document which also occur frequently within a set of documents. The high frequent occurrence of these keywords shows relations between keywords. These relations carry concepts. The relations of these keywords can be captured by association rule mining and represented as simplices. The collection of all these simplices, represents the structure of concepts within a document set.
  • Keywords
    combinatorial mathematics; data mining; association rule mining; combinatorial topology; concept mining; document set; geometric structure; high-frequency keywordset; keyword representation; simplicial complex; Association rules; Data mining; Databases; Frequency measurement; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2007. GRC 2007. IEEE International Conference on
  • Conference_Location
    Fremont, CA
  • Print_ISBN
    978-0-7695-3032-1
  • Type

    conf

  • DOI
    10.1109/GrC.2007.135
  • Filename
    4403121