research-article

Time Series Analysis and Crime Pattern Forecasting of City Crime Data

Authors:

Charlie S. Marzan,

Maria Jeseca C. Baculo,

Remedios de Dios Bulos,

Conrado Ruiz, Jr.Authors Info & Claims

ICACS '17: Proceedings of the 1st International Conference on Algorithms, Computing and Systems

Pages 113 - 118

https://doi.org/10.1145/3127942.3127959

Published: 10 August 2017 Publication History

Abstract

Crime analysis using data mining techniques have been a possible solution to aid law enforcement officers to mitigate crime related problems. In this paper, a geospatial data analysis was conducted for detecting the hotspots of criminal activities in Manila City, Philippines. The crime records of 2012-2016 which were manually collected were geocoded and the map was generated using ArcGIS version 10. Association rules mining using Apriori algorithm was also performed on discovering frequent patterns to help the police officers to form a preventive action. This analyzed the different crimes and predicted the chance of each crime that can recur. In addition, analysis of various time series forecasting methods such as Linear Regression, Gaussian Processes, Multilayer Perceptron, and SMOreg to predict future trends of crime was performed. This work provides a solution to help the officers to build a crime controlling strategy to prevent crimes in the future.

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Digital Library

Cited By

Andrade YPimenta MAmarante GFaria AVilas-Boas Mda Silva JRocha Fda Silva JMeira WTeodoro GRocha LFerreira R(2024)A Descriptive and Predictive Analysis Tool for Criminal Data: A Case Study from BrazilComputational Science and Its Applications – ICCSA 202410.1007/978-3-031-64608-9_10(151-169)Online publication date: 2-Jul-2024
https://doi.org/10.1007/978-3-031-64608-9_10
Redoblo CRedoblo JSalmingo RPadilla CArroyo J(2023)Forecasting the influx of crime cases using seasonal autoregressive integrated moving average modelInternational Journal of ADVANCED AND APPLIED SCIENCES10.21833/ijaas.2023.08.01810:8(158-165)Online publication date: Aug-2023
https://doi.org/10.21833/ijaas.2023.08.018
Ratra AAgarwal AVats SSharma VKukreja VYadav S(2023)A Comprehensive Review on Crime Patterns and Trends Analysis using Machine Learning2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)10.1109/ICAISS58487.2023.10250664(732-736)Online publication date: 23-Aug-2023
https://doi.org/10.1109/ICAISS58487.2023.10250664
Show More Cited By

Index Terms

Time Series Analysis and Crime Pattern Forecasting of City Crime Data
1. Information systems
  1. Information systems applications

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ICACS '17: Proceedings of the 1st International Conference on Algorithms, Computing and Systems

August 2017

117 pages

ISBN:9781450352840

DOI:10.1145/3127942

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 August 2017

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ICACS '17

ICACS '17: 2017 International Conference on Algorithms, Computing and Systems

August 10 - 13, 2017

Jeju Island, Republic of Korea

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Cited By

Andrade YPimenta MAmarante GFaria AVilas-Boas Mda Silva JRocha Fda Silva JMeira WTeodoro GRocha LFerreira R(2024)A Descriptive and Predictive Analysis Tool for Criminal Data: A Case Study from BrazilComputational Science and Its Applications – ICCSA 202410.1007/978-3-031-64608-9_10(151-169)Online publication date: 2-Jul-2024
https://doi.org/10.1007/978-3-031-64608-9_10
Redoblo CRedoblo JSalmingo RPadilla CArroyo J(2023)Forecasting the influx of crime cases using seasonal autoregressive integrated moving average modelInternational Journal of ADVANCED AND APPLIED SCIENCES10.21833/ijaas.2023.08.01810:8(158-165)Online publication date: Aug-2023
https://doi.org/10.21833/ijaas.2023.08.018
Ratra AAgarwal AVats SSharma VKukreja VYadav S(2023)A Comprehensive Review on Crime Patterns and Trends Analysis using Machine Learning2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)10.1109/ICAISS58487.2023.10250664(732-736)Online publication date: 23-Aug-2023
https://doi.org/10.1109/ICAISS58487.2023.10250664
Henrique de Jesus Prado KColaço Júnior M(2021)Data Science Applied to Crime Analysis Based on Brazilian Open Government DataJournal of Applied Security Research10.1080/19361610.2020.184805717:1(18-61)Online publication date: 27-Jan-2021
https://doi.org/10.1080/19361610.2020.1848057
Prathap BKrishna ABalachandran K(2021)Crime Analysis and Forecasting on Spatio Temporal News Feed Data—An Indian ContextArtificial Intelligence and Blockchain for Future Cybersecurity Applications10.1007/978-3-030-74575-2_16(307-327)Online publication date: 1-May-2021
https://doi.org/10.1007/978-3-030-74575-2_16
Gnanasigamani LHari S(2020)Analysis of Crime Data Using Neighbourhood Rough SetsInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.202007010415:3(61-75)Online publication date: 1-Jul-2020
https://doi.org/10.4018/IJITWE.2020070104
Boppuru PRamesha K. (2020)Spatio-Temporal Crime Analysis Using KDE and ARIMA Models in the Indian ContextInternational Journal of Digital Crime and Forensics10.4018/IJDCF.202010010112:4(1-19)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.4018/IJDCF.2020100101
Henrique de Jesus Prado KSantos Souza LDias de Jesus Junior IColaço Júnior M(2020)Applied Intelligent Data Analysis to Government Data Related to Criminal Incident: A Systematic ReviewJournal of Applied Security Research10.1080/19361610.2020.171651115:3(297-331)Online publication date: 25-Jan-2020
https://doi.org/10.1080/19361610.2020.1716511

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