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Title: :  Crime Pattern Detection Using Historical Data
PaperId: :  18879
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 6 2022
DUI:    16.0415/IJARIIE-18879
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Neha JaisonIES COLLEGE OF ENGINEERING
Imran Ahmed KPIES COLLEGE OF ENGINEERING
Shahabas Ahammed.TIES COLLEGE OF ENGINEERING
Shireen ShajahanIES COLLEGE OF ENGINEERING

Abstract

Computer Science Engineering
Crime data analysis, Machine Learning, Pattern Recognition
The objective of the project is to create a platform where the police or responsible authorities can predict the location and observe patterns of crime. With help of crime data modeling the crime pattern can be detected or worked upon. Crime data analysis can even speed up the resolution to the court cases with ease and timely. Such types of crime prediction approach work on patterns of crimes in terms of similarity of attack or crime such as time of incidence, the methodology of crime is same etc. Collect the data: In this phase the data from various sources is collected from various government sources, social media platforms about the incident like Facebook and blogs. It may expect that the data received may be in unstructured form with different types and sizes. Classification; The standard algorithm useful for classification which may be applied is Naïve bayes Classifier. This classifier will determine the probability of falling into different classes of crimes and the crime predicted to belong to a specific class the probability is highest. Identify pattern: Next phase in the methodology is to find the sequence of crimes which are similar in nature and belong to the same class. Such a pattern may be identified as suggested in literature through the apriori algorithm. For the prediction outcome the decision trees are used. Here in the decision tree each internal node has a test for occurrence on an incidence and outcome are normally yes or no and based on the outcome again the next level of internal node has another question test and so on to reach a final decision for prediction. This type of analysis on historical data can also help in determining the criminal profile based on the characteristic behavior inferred from the data. It can help the investigator to accurately predict the profile of unknown criminals.

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IJARIIE Neha Jaison, Imran Ahmed KP, Shahabas Ahammed.T, and Shireen Shajahan. "Crime Pattern Detection Using Historical Data" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 6 2022 Page 1852-1855
MLA Neha Jaison, Imran Ahmed KP, Shahabas Ahammed.T, and Shireen Shajahan. "Crime Pattern Detection Using Historical Data." International Journal Of Advance Research And Innovative Ideas In Education 8.6(2022) : 1852-1855.
APA Neha Jaison, Imran Ahmed KP, Shahabas Ahammed.T, & Shireen Shajahan. (2022). Crime Pattern Detection Using Historical Data. International Journal Of Advance Research And Innovative Ideas In Education, 8(6), 1852-1855.
Chicago Neha Jaison, Imran Ahmed KP, Shahabas Ahammed.T, and Shireen Shajahan. "Crime Pattern Detection Using Historical Data." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 6 (2022) : 1852-1855.
Oxford Neha Jaison, Imran Ahmed KP, Shahabas Ahammed.T, and Shireen Shajahan. 'Crime Pattern Detection Using Historical Data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 6, 2022, p. 1852-1855. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Crime_Pattern_Detection_Using_Historical_Data_ijariie18878.pdf (Accessed : ).
Harvard Neha Jaison, Imran Ahmed KP, Shahabas Ahammed.T, and Shireen Shajahan. (2022) 'Crime Pattern Detection Using Historical Data', International Journal Of Advance Research And Innovative Ideas In Education, 8(6), pp. 1852-1855IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Crime_Pattern_Detection_Using_Historical_Data_ijariie18878.pdf (Accessed : )
IEEE Neha Jaison, Imran Ahmed KP, Shahabas Ahammed.T, and Shireen Shajahan, "Crime Pattern Detection Using Historical Data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 6, pp. 1852-1855, Nov-Dec 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Crime_Pattern_Detection_Using_Historical_Data_ijariie18878.pdf [Accessed : ].
Turabian Neha Jaison, Imran Ahmed KP, Shahabas Ahammed.T, and Shireen Shajahan. "Crime Pattern Detection Using Historical Data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 6 ().
Vancouver Neha Jaison, Imran Ahmed KP, Shahabas Ahammed.T, and Shireen Shajahan. Crime Pattern Detection Using Historical Data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(6) : 1852-1855. Available from: https://ijariie.com/AdminUploadPdf/Crime_Pattern_Detection_Using_Historical_Data_ijariie18878.pdf
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