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2018 | OriginalPaper | Chapter

Criminal Policing Using Rossmo’s Equation by Applying Local Crime Sentiment

Authors : Fuzail Ahmad, Simran Syal, Mandeep Singh Tinna

Published in: Data Engineering and Intelligent Computing

Publisher: Springer Singapore

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Abstract

The paper explains discusses criminal policing by applying Rossmo’s equation and local crime sentiment approach is proposed where nine types of crimes are discussed which is put into four categories. Each category weight is calculated from the criminal database based on his/her crimes. Rapid miner tool is used to generate graph using results generated through Rossmo’s equation and local crime sentiment approach. The resultant graph is then analyzed to predict the most probable criminal. Gurgaon proclaimed offender case is used for case study. The experimental proves that the approach presented in the paper will give accurate results.

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Literature
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Yu, C.H., Ward, M.W., Morabito, M., Ding, W.: Crime forecasting using data mining techniques. In: Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops. ICDMW’11, Washington, DC, USA, pp. 779–786. IEEE Computer Society (2011)
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Metadata
Title
Criminal Policing Using Rossmo’s Equation by Applying Local Crime Sentiment
Authors
Fuzail Ahmad
Simran Syal
Mandeep Singh Tinna
Copyright Year
2018
Publisher
Springer Singapore
Book
Data Engineering and Intelligent Computing

Print ISBN: 978-981-10-3222-6

Electronic ISBN: 978-981-10-3223-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-3223-3_60

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