• DocumentCode
    29391
  • Title

    Adaptive Data Mining: Preliminary Studies

  • Author

    Massa Cereda, Paulo Roberto ; Jose, Jithin

  • Author_Institution
    Univ. de Sao Paulo (USP), Sáo Paulo, Brazil
  • Volume
    12
  • Issue
    7
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    1258
  • Lastpage
    1270
  • Abstract
    This paper presents preliminary studies on a proposal of an adaptive model for subject identification in large data sets. Additionally, an initial proposal of the adaptive data mining concept is introduced as a viable computational solution for problems originated from large data sets.
  • Keywords
    data mining; adaptive data mining; large data sets; subject identification; Adaptation models; Computational modeling; Data mining; Hardware; Proposals; Software; Visualization; Adaptive devices; Data mining; Subject identification;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2014.6948861
  • Filename
    6948861
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=29391