Analysis and Prediction of Crimes by Clustering and Classification

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.

[1]  Shiju Sathyadevan,et al.  Crime analysis and prediction using data mining , 2014, 2014 First International Conference on Networks & Soft Computing (ICNSC2014).

[2]  Wei Li.  Modified K-Means Clustering Algorithm , 2008, 2008 Congress on Image and Signal Processing.

[3]  Renuka Nagpal,et al.  Crime Analysis using K-Means Clustering , 2013 .

[4]  Sameh Otri,et al.  Data clustering using the bees algorithm , 2007 .

[5]  Vivek Agarwal,et al.  Survey on Classification Techniques for Data Mining , 2015 .

[6]  Bhawna Nigam,et al.  Categorizing the Document Using Multi Class Classification in Data Mining , 2011, 2011 International Conference on Computational Intelligence and Communication Networks.

[7]  Brandon Dixon,et al.  PerpSearch: An integrated crime detection system , 2009, 2009 IEEE International Conference on Intelligence and Security Informatics.

[8]  Sang-Bum Kim,et al.  Effective Methods for Improving Naive Bayes Text Classifiers , 2002, PRICAI.

[9]  Md Nasir Sulaiman,et al.  Improved method of classification algorithms for crime prediction , 2014, 2014 International Symposium on Biometrics and Security Technologies (ISBAST).

[10]  Pavel Berkhin,et al.  A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.

[11]  S. Gunasundari,et al.  A survey on genetic algorithm based feature selection for disease diagnosis system , 2014, Proceedings of IEEE International Conference on Computer Communication and Systems ICCCS14.

[12]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[13]  Shalinda Adikari,et al.  Intelligent criminal identification system , 2013, 2013 8th International Conference on Computer Science & Education.

[14]  Jian Pei,et al.  Data Mining: Concepts and Techniques, 3rd edition , 2006 .