Crime Analysis Based on Association Rules Using Apriori Algorithm

Authors

  • Mehmet Sevri, Hacer Karacan, and M. Ali Akcayol Author

Keywords:

Crime analysis, assocition rules, apriori, offender profiling.

Abstract

Data mining is an important technique used in 
many fields with the purpose of acquiring valuable information from big data. This study aims to reveal the relations between the attributes of independent criminal records. The NIBRS database, which includes criminal records in USA that are recorded in 2013, is used in this study. The association rules created by the Apriori algorithm have been used to extract the 
relationships between features of criminal records. The 
experimental results show that the association rules created by the Apriori algorithm are useful for criminal analysis. This study reveals the relationships between the attributes of different criminal records and allows the authorities to establish relationships between new and old incidents. 

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Published

09.05.2017

How to Cite

Crime Analysis Based on Association Rules Using Apriori Algorithm. (2017). International Journal of Information and Electronics Engineering, 7(3), 99-102. https://ijiee.org/index.php/ijiee/article/view/284