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INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND - Volume 6, Issue 8,, December 2017 (Special Issue)

Pages: 1059-1071

Date of Publication: 25-Dec-2017

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Analysis of Crime data using data mining


Category: Engineering, Science and Mathematics


Frequent pattern (itemset) mining plays a key role in rule mining. The Apriori and FP-development calculations are the most renowned calculations which can be utilized for Frequent Pattern mining. his paper shows the study of different Frequent Pattern Mining and Rule Mining calculation which can be applied to crime crime pattern mining. The analysis of survey would provide the data about what has been done already in a same area, what is the present trend and what are the other related areas. Frequent Pattern mining having three important approaches that is candidate generation approach, without candidate generation approach and vertical layout approach. It also explains different frequent pattern calculations and how it can be connected to various zones especially in wrongdoing design identification. This paper helps the researchers to get clear thought towards the application of frequent pattern mining algorithm in various areas.

Keywords: Frequent Pattern Mining, Apriori, FPgrowth, Association Rule Mining, Crime Pattern mining.