• DocumentCode
    3561580
  • Title

    Ontology Model for Multi-relational Data Mining Application

  • Author

    Bortoleto, Silvio ; Ebecken, Nelson F F

  • Author_Institution
    Positivo Univ.
  • Volume
    2
  • fYear
    2008
  • Firstpage
    460
  • Lastpage
    463
  • Abstract
    Usually data mining applications present diverse models to get the waited specific results. However the same don´t include any ontology to represent and better assist the understanding of the concepts of meta-model, sub-model and relationships that implicitly exist in the models. Relational models of mining are widely used and multi-relational models recently start to become important. This article focuses the use of multi-relational data mining and shows a case study that considers the ontology representation and describes the processes to create a new perspective of this methodology utilization.
  • Keywords
    data mining; ontologies (artificial intelligence); diverse models; meta-model concept; multi-relational data mining application; ontology model; ontology representation; sub-model concept; Cities and towns; Conferences; Data mining; Hospitals; Induction machines; Intelligent systems; Logic programming; OWL; Ontologies; Relational databases; data mining; models; ontology; sub-models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.285
  • Filename
    4696376