期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2015
卷号：4
期号：5
页码：741-748
出版社：IJCSN publisher
摘要：Criminal investigation plays an important role in law enforcement agencies while analyzing crimes. This can help in finding suspects and for better attribution of past crimes. So the use of pattern based approaches will have the potential to assist crime analyze experts in discovering new patterns of criminal activities. So the research is extended in this area in finding new crime patterns. Since frequent pattern mining problem has been introduced, researchers have been developed many ways and also extended to different useful emerging patterns such as closed, maximal, cyclic, periodic, and popular patterns. In this paper, we introduced popular crime patterns which give the popularity of each crime or incident among the entire crime database. The process used for mining popular crime patterns is discussed as PCrime-growth algorithm. The compact data structure called PCrime-tree is implemented in this algorithm. Finally our experiment results have been shown which gives information of compact, space efficient and time efficient of our proposed algorithm
