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

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 [Student Project] (Unpublished)

Abstract

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.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Jamian, Nuraqilah
UNSPECIFIED
Ghazali, Nurul Aliah
UNSPECIFIED
Ahmad Jamal, Teh Wardatul Hamraq
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ismail Hashim, Emmy Nurashikin
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities
Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing
Q Science > QA Mathematics > Analysis
Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons.) Statistics
Keywords: Pattern, property crime, recidivism, data mining tool
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/50092
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