• DocumentCode
    1957991
  • Title

    Application of data mining based on Rough Sets in the field of telecommunications

  • Author

    Li, Lei ; Shen, Fang-Cheng ; Yang, De-Zhang

  • Author_Institution
    Coll. of Sci., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • Volume
    6
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    538
  • Lastpage
    541
  • Abstract
    Nowadays, it is certain that we have to deal with massive data and abstract implicit regularity from massive data. In this paper, the reduction algorithm based on Rough Sets is proposed as a practical data mining technology and the procedure of telecommunication decision is analyzed. In the paper, the procedure of telecommunication based on data mining of Rough Sets is discussed. The factor set is established including condition attribute and decision attribute. The attribute reduction algorithm based on Rough Sets is used to eliminate the redundant risk factor and its value of decision table. It can be generalized to some useful rules and we can make proper decision from the rules to improve precision and explanatory ability in practice.
  • Keywords
    data mining; decision making; decision tables; rough set theory; telecommunication computing; attribute reduction algorithm; condition attribute; data mining; decision attribute; decision table; risk factor elimination; rough set; telecommunication decision; Telecommunication services; data mining; discernibility matrix; rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5565033
  • Filename
    5565033