• DocumentCode
    301337
  • Title

    Rough sets as a tool in data engineering

  • Author

    Garcia-Moreno, A.

  • Volume
    1
  • fYear
    1995
  • fDate
    22-25 Oct 1995
  • Firstpage
    435
  • Abstract
    The main objective of this paper is to introduce the Pawlak´s rough sets theory as a tool in data engineering and, more precisely, in dependencies discovering from data. In this field, two different kinds of tabular representation of knowledge are used: KRS tables and decision tables. Using decision tables the authors show how useful consequences may be inferred from real data collected in their academic community
  • Keywords
    decision tables; inference mechanisms; knowledge representation; set theory; KRS tables; data engineering; decision tables; rough sets theory; tabular knowledge representation; Bellows; Computer industry; Data engineering; Information systems; Knowledge representation; Rough sets; Size measurement; Software tools; Telecommunication standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.537798
  • Filename
    537798
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=301337