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A review on applied statistical and artificial intelligence techniques in crime forecasting

Crime forecasting is an important component of crime analysis towards providing early information about possible crime occurrences in the future. Different models have been proposed to assess different crime data structures and representations. From the literature study conducted, there are several...

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Main Authors: Khairuddin, A. R., Alwee, R., Haron, H.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/88925/1/AlifRidzuanKhairuddin2019_AReviewonAppliedStatisticalandArtificial.pdf
http://eprints.utm.my/id/eprint/88925/
https://dx.doi.org/10.1088/1757-899X/551/1/012030
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id my.utm.88925
record_format eprints
spelling my.utm.889252020-12-29T04:43:01Z http://eprints.utm.my/id/eprint/88925/ A review on applied statistical and artificial intelligence techniques in crime forecasting Khairuddin, A. R. Alwee, R. Haron, H. QA75 Electronic computers. Computer science Crime forecasting is an important component of crime analysis towards providing early information about possible crime occurrences in the future. Different models have been proposed to assess different crime data structures and representations. From the literature study conducted, there are several types of crime forecasting models that have been introduced such as statistical model and artificial intelligence (AI) model. Recent trends indicate that researchers have shifted their interest towards AI model due to its flexibility in handling variations in crime data structures. The study found that AI model is capable of capturing nonlinearity pattern of crime data in which statistical model fails to achieve. Moreover, the structure of crime data is mostly nonlinear. Thus, an AI model is favoured among researchers towards developing a robust crime forecasting model. This paper provides a review on the background, trends, and challenges on applied statistical and AI model in crime forecasting. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/88925/1/AlifRidzuanKhairuddin2019_AReviewonAppliedStatisticalandArtificial.pdf Khairuddin, A. R. and Alwee, R. and Haron, H. (2019) A review on applied statistical and artificial intelligence techniques in crime forecasting. In: International Conference on Green Engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, ICAC 2019, 4-5 Feb 2019, Eastin Hotel Makkasan Bangkok, Thailand. https://dx.doi.org/10.1088/1757-899X/551/1/012030
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Khairuddin, A. R.
Alwee, R.
Haron, H.
A review on applied statistical and artificial intelligence techniques in crime forecasting
description Crime forecasting is an important component of crime analysis towards providing early information about possible crime occurrences in the future. Different models have been proposed to assess different crime data structures and representations. From the literature study conducted, there are several types of crime forecasting models that have been introduced such as statistical model and artificial intelligence (AI) model. Recent trends indicate that researchers have shifted their interest towards AI model due to its flexibility in handling variations in crime data structures. The study found that AI model is capable of capturing nonlinearity pattern of crime data in which statistical model fails to achieve. Moreover, the structure of crime data is mostly nonlinear. Thus, an AI model is favoured among researchers towards developing a robust crime forecasting model. This paper provides a review on the background, trends, and challenges on applied statistical and AI model in crime forecasting.
format Conference or Workshop Item
author Khairuddin, A. R.
Alwee, R.
Haron, H.
author_facet Khairuddin, A. R.
Alwee, R.
Haron, H.
author_sort Khairuddin, A. R.
title A review on applied statistical and artificial intelligence techniques in crime forecasting
title_short A review on applied statistical and artificial intelligence techniques in crime forecasting
title_full A review on applied statistical and artificial intelligence techniques in crime forecasting
title_fullStr A review on applied statistical and artificial intelligence techniques in crime forecasting
title_full_unstemmed A review on applied statistical and artificial intelligence techniques in crime forecasting
title_sort review on applied statistical and artificial intelligence techniques in crime forecasting
publishDate 2019
url http://eprints.utm.my/id/eprint/88925/1/AlifRidzuanKhairuddin2019_AReviewonAppliedStatisticalandArtificial.pdf
http://eprints.utm.my/id/eprint/88925/
https://dx.doi.org/10.1088/1757-899X/551/1/012030
_version_ 1687393641660678144
score 13.211869

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