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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Bibliographic Details
Main Author:	M. Dollah, Mohamad Khairul Firdhaus
Format:	Thesis
Language:	English
Published:	2008
Subjects:	Online data processing
Online Access:	https://ir.uitm.edu.my/id/eprint/87228/1/87228.pdf
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id	my-uitm-ir.87228
record_format	uketd_dc
spelling	my-uitm-ir.872282024-02-26T07:55:18Z Development of a prototype application to detect bad behaviour pattern / Mohamad Khairul Firdhaus M. Dollah 2008 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 https://ir.uitm.edu.my/id/eprint/87228/ https://ir.uitm.edu.my/id/eprint/87228/1/87228.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Salleh, Siti Salwa
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Salleh, Siti Salwa
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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2008
url	https://ir.uitm.edu.my/id/eprint/87228/1/87228.pdf
_version_	1794192121423462400

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

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