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2021 | OriginalPaper | Chapter

Crime Forecasting Using Time Series Analysis

Authors : Neetu Faujdar, Yashita Verma, Yogesh Singh Rathore, P. K. Rohatgi

Published in: Advances in Interdisciplinary Research in Engineering and Business Management

Publisher: Springer Nature Singapore

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Abstract

With the advent of computers and the rapidly increasing speed of technological advancements, data is now being collected at breakneck speeds. Accelerating increase in the amount and speed at which data is collected has been matched with advancements in data storage and data analysis technology. Crime data has been steadily collected for many decades now and can be used to analyze and predict novel and interesting patterns as they emerge. With this new technology, we can forecast crimes and crime rates to help law enforcements authorities. This paper uses predictive data analysis and forecasting to predict future crime rates.

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Metadata
Title
Crime Forecasting Using Time Series Analysis
Authors
Neetu Faujdar
Yashita Verma
Yogesh Singh Rathore
P. K. Rohatgi
Copyright Year
2021
Publisher
Springer Nature Singapore
Book
Advances in Interdisciplinary Research in Engineering and Business Management

Print ISBN: 978-981-16-0036-4

Electronic ISBN: 978-981-16-0037-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-0037-1_20