A Comparative Study on Crime Analysis Techniques
Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and trends in crime. Crime analytics and prediction have long been studied among research communities. In the daily life, crime keeps increasing and threatens the lives of the people in public. In this paper, various existing techniques like k-means algorithm, k-nearest neighbor algorithm, Naïve Bayes’ theorem, decision trees, random forest, Apriori algorithm, logistic regression, linear regression, SVM and neural networks are summarized.
Anish Krishnan, Aditya Sarguru, Shantha Sheela A.C, “Predictive Analysis of Crime Data Using Deep Learning” in International Journal of Pure and Applied Mathematics, 2018, ISSN: 1314-3395, Vol-118, No-20, Special Issue.
Ilamvaluthi Joseph S, BalaSubramani. C, Harish T, Mohan Raj, “A Survey of Data Mining Techniques for Analyzing Crime Patterns” in International Journal of Engineering Science and Computing (IJESC), March 2017, Vol-7, Issue-3.
AlkeshBharati, Dr. Sarvanaguru RA. K, “Crime Prediction and Analysis Using Machine Learning” in International Research Journal of Engineering and Technology (IRJET), Sep 2018, ISSN: 2395-0072, Vol-05, Issue-09.
Mehmet Sevri, HacerKaracan and Ali Akcayol M, “Crime Analysis Based on Association Rules Using Apriori Algorithm” in International Journal of Information and Electronics Engineering, May 2017, Vol-07, No-3.
Priyanka Gera and Dr. Rajan Vohra, “Predicting Future Trends in City Crime Using Linear Regression” in International Journal of Computer Science and Management Studies (IJCSMS), July 2014, ISSN: 2231-5268, Vol-14, Issue-07.
Sundhara Kumar K B and BhalajiN, “A Study on Classification Algorithms for Crime Records”, Conference Paper, 2016, 873-880.10.1007/978-981-10-3433-6_104.
Nikhil Dubey, Setu Kumar Chaturvedi, “A Survey Paper on Crime Prediction Techniques Using Data Mining” in International Journal of Engineering Research and Applications, March 2014, ISSN: 2248-9622, Vol-04, Issue-03.
Emmanuel Ahishakiye, Elisha OpiyoOmulo, DanisonTaremwa, Ivan Niyonzima, “Crime Prediction Using Decision Tree (J48) Classification Algorithm” in International Journal of Computer and Information Technology, May 2017, ISSN:2279-0764, Vol-06, Issue-03.
Daniel Antolos, Dahai Liu, Andrei Ludu and Dennis Vincenzi, “Burglary Crime Analysis Using Logistic Regression”, Conference Paper, 2013, pp: 549-558.
Mehmet SaitVural, Mustafa Gok, “Criminal Prediction Using Naïve Bayes Theory” in Neural Computing and Applications, Feb 2016, DOI 10.1007/s00521-016-2205-z.
Prabakaran S and ShilpaMitra, “Survey of Analysis of Crime Detection Techniques Using Data Mining and Machine Learning” in National Conference on Mathematical Techniques and its Applications (NCMTA 18), DOI 10.1088/1742-6596/1000/1/012046.
Jyoti Agarwal, RenukaNagpal and Rajni Sehgal, “Crime Analysis Using K-means clustering” in International Journal of Computer Applications, Dec 2013, ISSN: 0975-8887, Vol-83, No-4.
Benjamin Fredrick David H and Suruliandi A, “Survey on Crime Analysis and Prediction Using Data Mining Techniques” in ICTACT Journal on Soft Computing, April 2017, ISSN: 2229-6959, Vol-07, Issue-03.
Noora Abdulrahman and WalaAbedalkhader, “K-nn Classifier and Naïve Bayes Classifier for Crime Prediction in San Francisco Context” in International Journal of Database Management Systems (IJDMS), August 2017, Vol-09, No-4.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.