Visual Data Mining System Architecture

نویسندگان

  • Tiziana Catarci
  • Paolo Ciaccia
  • Vincenzo Curci
  • Stephen Kimani
  • Giovambattista Ianni
  • Stefano Lodi
  • Luigi Palopoli
  • Marco Patella
  • Giuseppe Santucci
  • Claudio Sartori
چکیده

In this report we present the architecture of the overall data mining system and detail the main functionalities of its visual interface. The semantics of the visual operators is formally given in terms of the language of the corresponding mining techniques, namely metarules, association rules, clustering, approximate similarity queries.

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تاریخ انتشار 2001