• DocumentCode
    3277640
  • Title

    Viewpoint-based annotations for Knowledge Discovery in Databases

  • Author

    Behja, Hicham ; Zemmouri, El-Moukhtar ; Marzak, Abdelaziz

  • Author_Institution
    Lab. CCSP, Ecole Nat. Super. d´´Arts et Metiers, Meknes, Morocco
  • fYear
    2010
  • fDate
    3-5 Oct. 2010
  • Firstpage
    320
  • Lastpage
    323
  • Abstract
    In this paper, we propose a new approach that makes the viewpoint notion explicit in a multiview Knowledge Discovery in Databases (KDD) process. We define a viewpoint in KDD as an analyst´s perception of a KDD process, which refers to his own knowledge. Our purpose is to facilitate both the reusability and adaptability of a KDD process, and to reduce its complexity whilst maintaining the trace of the past analysis in terms of viewpoints. We also propose a viewpoint-based conceptual model for KDD process that integrates both the analyzed and the analyst domain knowledge.
  • Keywords
    data mining; meta data; ontologies (artificial intelligence); analyst domain knowledge; conceptual model; database process; multiview knowledge discovery; process adaptability; process reusability; viewpoint notion; Analytical models; Cognition; Context; Data mining; Databases; IP networks; Ontologies; KDD; annotations; metadata; ontology; viewpoint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine and Web Intelligence (ICMWI), 2010 International Conference on
  • Conference_Location
    Algiers
  • Print_ISBN
    978-1-4244-8608-3
  • Type

    conf

  • DOI
    10.1109/ICMWI.2010.5647881
  • Filename
    5647881