Abstract: Crimes will somehow influence organizations and institutions when occurred frequently in a society. Thus, it seems necessary to study reasons, factors and relations between occurrence of different crimes and finding the most appropriate ways to control and avoid more crimes. The main objective of this paper is to classify clustered crimes based on occurrence frequency during different years. Data mining is used extensively in terms of analysis, investigation and discovery of patterns for occurrence of different crimes. We applied a theoretical model based on data mining techniques such as clustering and classification to real crime dataset recorded by police in England and Wales within 1990 to 2011. We assigned weights to the features in order to improve the quality of the model and remove low value of them. The Genetic Algorithm (GA) is used for optimizing of Outlier Detection operator parameters using RapidMiner tool.

Rasoul Kiani, Siamak Mahdavi and Amin Keshavarzi, “Analysis and Prediction of Crimes by Clustering and Classification” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(8), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040802

@article{Kiani2015,
title = {Analysis and Prediction of Crimes by Clustering and Classification},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.040802},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040802},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {8},
author = {Rasoul Kiani and Siamak Mahdavi and Amin Keshavarzi}
}