Title :
Incorporating data sources and methodologies for crime data mining
Author :
Ozgul, Fatih ; Atzenbeck, Claus ; Celik, Ahmet ; Erdem, Zeki
Author_Institution :
Fac. of Sci., Eng. & Technol., Univ. of Sunderland, Sunderland, UK
Abstract :
This paper investigates sources of crime data mining, methodologies for knowledge discovery, by pointing out which forms knowledge discovery is suitable for which methodology. Furthermore, it identifies which data sources should be used for which knowledge discovery form in crime data mining. Similarities and differences between crime data mining methodologies show that some forms of knowledge discovery are suitable for particular crime data mining methodologies. It is offered that selecting the appropriate methodology depends on whether general or specific tasks required or high volume of crime data to be prepared.
Keywords :
data mining; police data processing; crime data mining; data sources; knowledge discovery; Analytical models; Business; Data models; Industries; Knowledge engineering; Predictive models; Safety;
Conference_Titel :
Intelligence and Security Informatics (ISI), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0082-8
DOI :
10.1109/ISI.2011.5983995