• DocumentCode
    2463572
  • Title

    Knowledge acquisition on selection of humanities and sciences using the decision tree

  • Author

    Notsuda, Yuta ; Takahashi, Koichi

  • Author_Institution
    Sch. of Inf. Sci., Hiroshima City Univ., Hiroshima, Japan
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    126
  • Lastpage
    131
  • Abstract
    This paper describes experimental results of extracting features of students majoring in humanities and sciences, in order to show factors that influence the selection when students select their course, i.e. humanities or sciences. In the research, data are collected through questionnaires to students. The questionnaire includes questions to ask about the lifestyle, and subjects studied in schools. The data are analyzed by using decision trees.
  • Keywords
    data mining; decision trees; educational administrative data processing; feature extraction; humanities; course selection; data analysis; decision tree; humanities student selection; knowledge acquisition; science student selection; student feature extraction; Conferences; Cybernetics; Decision support systems; data mining; decision tree; major;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377688
  • Filename
    6377688
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2463572