• DocumentCode
    2151791
  • Title

    Supporting decision making in situational crime prevention using fuzzy association rule

  • Author

    Noor, Noor Maizura Mohamad ; Nawawi, Wan Mohd Farhan Wan ; Ghazali, Ahmad Faiz

  • Author_Institution
    IACSIT, Univ. Malaysia Terengganu, Kuala Terengganu, Malaysia
  • fYear
    2013
  • fDate
    19-21 Nov. 2013
  • Firstpage
    225
  • Lastpage
    229
  • Abstract
    Crime happens everywhere including in our house and is always related with human life. It will make a country lose valuable assets and properties. Most crimes will take place only if there is an opportunity to do crime. To curb this problem, the IT field tries to develop a smart technology that can work in predicting of crime in the future. This new tool uses decision support system (DSS) and fuzzy association rule mining (FARM), in which it can extract the factors of situational (opportunity) crime precisely based on previous data obtained.
  • Keywords
    data mining; decision making; decision support systems; fuzzy set theory; DSS; FARM; decision making support; decision support system; fuzzy association rule mining; situational crime prevention; smart technology; Association rules; Computer science; Decision making; Decision support systems; Itemsets; Pragmatics; Decision Support System; Fuzzy Association Rules; Situational Crime Prevention;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Control, Informatics and Its Applications (IC3INA), 2013 International Conference on
  • Conference_Location
    Jakarta
  • Type

    conf

  • DOI
    10.1109/IC3INA.2013.6819178
  • Filename
    6819178