• DocumentCode
    1659266
  • Title

    Data mining - a semantic model

  • Author

    Fermández, Covadonga ; Martínez, Juan F. ; Wasilewska, Anita ; Hadjimichae, Mike ; Menasalvas, Ernestina

  • Author_Institution
    Fac. de Inf., Univ. Politecnica de Madrid, Spain
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    938
  • Lastpage
    943
  • Abstract
    Data mining techniques applied to decision support in real-life problems require a multi-step process. Inputs and outputs of these steps require some standard format to be followed in order to achieve a useful platform for the execution of data mining algorithms. There is a need to develop a uniform model where every operation can be expressed in a standard way, allowing algorithms to cooperate and to reuse results. We present, first, a common structure for the representation of inter-step results, and second, a model of the operator, i.e. the entity that handles and transforms this common structure according to a basic data mining algorithm
  • Keywords
    data mining; decision support systems; semantic networks; algorithm cooperation; algorithm execution; common structure; data mining; decision support; inter-step results representation; multi-step process; operator model; results reuse; semantic model; standard format; uniform model; Clustering algorithms; Computer science; Data analysis; Data mining; Data preprocessing; Decision trees; Knowledge representation; Laboratories; Relational databases; Standards development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7280-8
  • Type

    conf

  • DOI
    10.1109/FUZZ.2002.1006630
  • Filename
    1006630