• DocumentCode
    2822217
  • Title

    Application of Association Rules Data Mining in Effect Rules Discovery of Healthy Housing

  • Author

    Wang Liang ; Yu Chong-chong ; Liu Jie

  • Author_Institution
    Beijing Technol. & Bus. Univ., Beijing, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Design of healthy housing produces direct impacts on the health of residents. Conversely, finding out the rules in healthy housing plays an essential role in its appropriate design. Therefore, association rules data mining is used to process the data which come from the residents in the healthy housing, in order to acquire the main factors and rules affecting the healthy living, and further to apply them in the design of healthy housing, so as to improve its quality. Experts´ analysis and evaluation on the pattern generated by data mining tools, as well as the elementary application of actionable knowledge discovery in the effect rules discovery of healthy housing are also discussed.
  • Keywords
    civil engineering computing; construction industry; data mining; ergonomics; association rules data mining; expert analysis; healthy housing; knowledge discovery; rules discovery effect; Association rules; Data mining; Humans; Itemsets; Manifolds; Physiology; Protection; Security; Sustainable development; Thermal pollution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5363643
  • Filename
    5363643