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Pattern of property crime recidivism by using data mining tool / Nuraqilah Jamian, Nurul Aliah Ghazali and Teh Wardatul Hamraq Ahmad Jamal

Recidivism is the act of continuing to commit crimes after had been punished. Recidivists are not excluded in contributing the number of crimes and tend to repeat the crime because of several factors of life. In the meantime, incarceration has effected the community whom paid the price of high-repea...

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Main Authors: Jamian, Nuraqilah, Ghazali, Nurul Aliah, Ahmad Jamal, Teh Wardatul Hamraq
Format: Student Project
Language:English
Published: 2019
Subjects:
Mathematical statistics. Probabilities
Data processing
Analysis
Analytical methods used in the solution of physical problems
Online Access:https://ir.uitm.edu.my/id/eprint/50092/1/50092.pdf
https://ir.uitm.edu.my/id/eprint/50092/
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spelling my.uitm.ir.500922021-09-03T07:42:12Z https://ir.uitm.edu.my/id/eprint/50092/ Pattern of property crime recidivism by using data mining tool / Nuraqilah Jamian, Nurul Aliah Ghazali and Teh Wardatul Hamraq Ahmad Jamal Jamian, Nuraqilah Ghazali, Nurul Aliah Ahmad Jamal, Teh Wardatul Hamraq Mathematical statistics. Probabilities Data processing Analysis Analytical methods used in the solution of physical problems Recidivism is the act of continuing to commit crimes after had been punished. Recidivists are not excluded in contributing the number of crimes and tend to repeat the crime because of several factors of life. In the meantime, incarceration has effected the community whom paid the price of high-repeated crimes in social and financial terms, by encountering the lack of public safety, breaking down of social connections, and unavoidable intergenerational poverty. In this study, Frequent Pattern Growth (FP¬ Growth) method was used to identify the pattern of recidivism in property crime and to find the association between property related crime and the number of days to commit recidivism. 73 72 observations from secondary data was used in this study. The data taken from Bureau of Justice Statistics in United States. The pattern that was conducted indicates that most of the offenders had committed burglary as their first type of crime and most of them had repeated the same type of crime. To summarize, FP Growth method is suitable in finding a pattern and should be acknowledged by everyone since it can create rules and producing hidden information in the data especially in predicting recidivism. 2019 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/50092/1/50092.pdf ID50092 Jamian, Nuraqilah and Ghazali, Nurul Aliah and Ahmad Jamal, Teh Wardatul Hamraq (2019) Pattern of property crime recidivism by using data mining tool / Nuraqilah Jamian, Nurul Aliah Ghazali and Teh Wardatul Hamraq Ahmad Jamal. [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mathematical statistics. Probabilities
Data processing
Analysis
Analytical methods used in the solution of physical problems
spellingShingle Mathematical statistics. Probabilities
Data processing
Analysis
Analytical methods used in the solution of physical problems
Jamian, Nuraqilah
Ghazali, Nurul Aliah
Ahmad Jamal, Teh Wardatul Hamraq
Pattern of property crime recidivism by using data mining tool / Nuraqilah Jamian, Nurul Aliah Ghazali and Teh Wardatul Hamraq Ahmad Jamal
description Recidivism is the act of continuing to commit crimes after had been punished. Recidivists are not excluded in contributing the number of crimes and tend to repeat the crime because of several factors of life. In the meantime, incarceration has effected the community whom paid the price of high-repeated crimes in social and financial terms, by encountering the lack of public safety, breaking down of social connections, and unavoidable intergenerational poverty. In this study, Frequent Pattern Growth (FP¬ Growth) method was used to identify the pattern of recidivism in property crime and to find the association between property related crime and the number of days to commit recidivism. 73 72 observations from secondary data was used in this study. The data taken from Bureau of Justice Statistics in United States. The pattern that was conducted indicates that most of the offenders had committed burglary as their first type of crime and most of them had repeated the same type of crime. To summarize, FP Growth method is suitable in finding a pattern and should be acknowledged by everyone since it can create rules and producing hidden information in the data especially in predicting recidivism.
format Student Project
author Jamian, Nuraqilah
Ghazali, Nurul Aliah
Ahmad Jamal, Teh Wardatul Hamraq
author_facet Jamian, Nuraqilah
Ghazali, Nurul Aliah
Ahmad Jamal, Teh Wardatul Hamraq
author_sort Jamian, Nuraqilah
title Pattern of property crime recidivism by using data mining tool / Nuraqilah Jamian, Nurul Aliah Ghazali and Teh Wardatul Hamraq Ahmad Jamal
title_short Pattern of property crime recidivism by using data mining tool / Nuraqilah Jamian, Nurul Aliah Ghazali and Teh Wardatul Hamraq Ahmad Jamal
title_full Pattern of property crime recidivism by using data mining tool / Nuraqilah Jamian, Nurul Aliah Ghazali and Teh Wardatul Hamraq Ahmad Jamal
title_fullStr Pattern of property crime recidivism by using data mining tool / Nuraqilah Jamian, Nurul Aliah Ghazali and Teh Wardatul Hamraq Ahmad Jamal
title_full_unstemmed Pattern of property crime recidivism by using data mining tool / Nuraqilah Jamian, Nurul Aliah Ghazali and Teh Wardatul Hamraq Ahmad Jamal
title_sort pattern of property crime recidivism by using data mining tool / nuraqilah jamian, nurul aliah ghazali and teh wardatul hamraq ahmad jamal
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/50092/1/50092.pdf
https://ir.uitm.edu.my/id/eprint/50092/
_version_ 1710678956261244928
score 13.211869

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