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
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;
Conference_Titel :
Computer, Control, Informatics and Its Applications (IC3INA), 2013 International Conference on
Conference_Location :
Jakarta
DOI :
10.1109/IC3INA.2013.6819178
