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
Link To Document