• DocumentCode
    2550606
  • Title

    Applying graph mining to discover substructures of room layouts which affect the rent of apartments

  • Author

    Takizawa, Atsushi ; Yoshida, Kazuma ; Katoh, Naoki

  • Author_Institution
    Kyoto Univ., Kyoto
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    3512
  • Lastpage
    3518
  • Abstract
    In this paper we will investigate the relationship between room layout and the rent of apartments by extracting meaningful substructures of a graph representing the room layout using a graph mining algorithm. We will then construct a prediction model for the rent of apartments with high accuracy. Through our analysis, we will reveal certain typical substructures in the room layout which strongly affect the rent.
  • Keywords
    graph theory; real estate data processing; rental; apartment rentals; graph mining; room layout substructure discovery; Appraisal; Buildings; Chemical analysis; Cities and towns; Data mining; Image databases; Predictive models; Statistical analysis; Topology; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4414219
  • Filename
    4414219