A Complete Survey on application of Frequent Pattern Mining and Association Rule Mining on Crime Pattern Mining
D. Usha, K. Rameshkumar · 2014
Frequent pattern (itemset) mining plays an important role in association rule mining. The Apriori & FP-growth algorithms are the most famous algorithms which can be used for Frequent Pattern mining. This paper presents the survey of various Frequent Pattern Mining and Rule Mining algorithm which can be applied to crime pattern mining. The analysis of literature survey would give the information about what has been done previously in the same area, what is the current trend and what are the other related areas. This paper explains the concepts of Frequent Pattern Mining and three important approaches that is candidate generation approach, without candidate generation and vertical layout approach. It also explains various frequent pattern algorithms and how it can be applied to different areas particularly in crime pattern detection. This paper surely helps the researches to get clear idea about the application of frequent pattern mining algorithm in various areas.