Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah

Bad behaviour can be prevented by knowing their behaviour patterns before the problem occurs. Data mining is one way that can help in predicting or identifying the patterns behavior of certain individual that is involved in terrorist activity. Data mining is a process of finding hidden information a...

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Main Author: M. Dollah, Mohamad Khairul Firdhaus
Format: Thesis
Language:English
Published: 2008
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/87228/1/87228.pdf
https://ir.uitm.edu.my/id/eprint/87228/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.87228
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spelling my.uitm.ir.872282024-02-26T07:55:18Z https://ir.uitm.edu.my/id/eprint/87228/ Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah M. Dollah, Mohamad Khairul Firdhaus Online data processing Bad behaviour can be prevented by knowing their behaviour patterns before the problem occurs. Data mining is one way that can help in predicting or identifying the patterns behavior of certain individual that is involved in terrorist activity. Data mining is a process of finding hidden information and patterns in databases. One of the tasks for data mining purposes is classification refers to assigning cases into categories based on a predictable attributes. This method can be applied to detect patterns of bad behaviour UiTM students. By using auto discretization and rules compositions based on table and decision tree, classification method of data mining can be applied to the prototype application. 2008 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/87228/1/87228.pdf Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah. (2008) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
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 Online data processing
spellingShingle Online data processing
M. Dollah, Mohamad Khairul Firdhaus
Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah
description Bad behaviour can be prevented by knowing their behaviour patterns before the problem occurs. Data mining is one way that can help in predicting or identifying the patterns behavior of certain individual that is involved in terrorist activity. Data mining is a process of finding hidden information and patterns in databases. One of the tasks for data mining purposes is classification refers to assigning cases into categories based on a predictable attributes. This method can be applied to detect patterns of bad behaviour UiTM students. By using auto discretization and rules compositions based on table and decision tree, classification method of data mining can be applied to the prototype application.
format Thesis
author M. Dollah, Mohamad Khairul Firdhaus
author_facet M. Dollah, Mohamad Khairul Firdhaus
author_sort M. Dollah, Mohamad Khairul Firdhaus
title Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah
title_short Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah
title_full Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah
title_fullStr Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah
title_full_unstemmed Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah
title_sort development of a prototype application to detect bad behaviour pattern / mohamad khairul firdhaus m. dollah
publishDate 2008
url https://ir.uitm.edu.my/id/eprint/87228/1/87228.pdf
https://ir.uitm.edu.my/id/eprint/87228/
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