• DocumentCode
    2544179
  • Title

    Object clustering for scheme learning

  • Author

    Shioya, Isamu ; Miura, Takao

  • Author_Institution
    Sanno Coll., Japan
  • fYear
    1998
  • fDate
    10-12 Nov 1998
  • Firstpage
    2
  • Lastpage
    9
  • Abstract
    We propose a novel technique to learn concepts from a large set of objects by means of clustering techniques. Unlike conventional approaches, we utilize database scheme knowledge and specify what clusters mean by linking attribute-grouping to object clustering. We propose some sophisticated algorithms (and some extensions) and show how useful they are
  • Keywords
    data mining; deductive databases; learning (artificial intelligence); object-oriented databases; pattern clustering; attribute-grouping; clustering techniques; database scheme knowledge; object clustering; scheme learning; Clustering algorithms; DC generators; Data mining; Databases; Educational institutions; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1998. Proceedings. Tenth IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1082-3409
  • Print_ISBN
    0-7803-5214-9
  • Type

    conf

  • DOI
    10.1109/TAI.1998.744739
  • Filename
    744739
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2544179