• DocumentCode
    3120578
  • Title

    Preference mining for future home energy consumption

  • Author

    Tsuji, Hiroshi ; Kojoma, Masatomo ; Takahashi, Atsushi ; Nakano, Masayuki ; Aoki, Shingo ; Inoue, Shuuki ; Asari, Kazunari ; Mimura, Eiji

  • Author_Institution
    Grad. Sch. of Eng., Osaka Prefecture Univ., Sakai
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    3697
  • Lastpage
    3701
  • Abstract
    To assess the demand ldquowhat kinds of home equipment will be unveiled in the future?rdquo, this paper presents an experimental analysis for consumers preference. The experimentation consists of four steps: (1) based on the seeds map of technology for energy consumption, six services and their related products for future home are drawn, (2) For the services, questionnaire which collects consumers´ preference is designed, (3) to clarify the causal relation among the preference, personal demography and value sense, three kinds of methods (VS-map, VAUD-table, Stepwise Bayesian Network) are proposed, (4) The methods are applied to the collected 1,030 responses to the questionnaire. For example, the experimentation has found the preference such that the unmarried persons make points of convenience in daily life rather than other classes of persons.
  • Keywords
    data mining; energy consumption; marketing data processing; future home energy consumption; home equipment; marketing analysis; personal demography; preference mining; stepwise Bayesian network; Bayesian methods; Companies; Demography; Electronic equipment; Energy consumption; Energy resolution; Market research; Power engineering and energy; Research and development; Security; Home Energy Consumption; Knowledge Mining; Marketing Analysis; Value Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811874
  • Filename
    4811874