Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning

All round the world, fraud situations are significantly causing huge revenue leakage in the telecommunication companies every year. The reuse of previous cases is an important issue in dealing with fraud pattern in a data with string features. Case Based Reasoning (CBR) systems have a set of cases i...

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Main Author: Shuaibu, Bala Musa
Format: Thesis
Language:eng
eng
Published: 2008
Subjects:
Online Access:https://etd.uum.edu.my/842/1/Bala_Musa_Shuaibu.pdf
https://etd.uum.edu.my/842/2/Bala_Musa_Shuaibu.pdf
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id my-uum-etd.842
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spelling my-uum-etd.8422023-11-26T02:04:36Z Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning 2008-04 Shuaibu, Bala Musa College of Arts and Sciences (CAS) Faculty of Information technology QA76 Computer software All round the world, fraud situations are significantly causing huge revenue leakage in the telecommunication companies every year. The reuse of previous cases is an important issue in dealing with fraud pattern in a data with string features. Case Based Reasoning (CBR) systems have a set of cases inform of library used to facilitate the process of validation of new cases without the direct involvement of a domain expert. The proposed detection technique in this paper is based on Case Based Reasoning used to detect the occurrence of fraud with a meaningful confidence in telecommunication data. Experimental result on the fraud data indicates that the weight for all attribute used in this study needs to be set as 0.1 in order to get 98% similarity performance. 2008-04 Thesis https://etd.uum.edu.my/842/ https://etd.uum.edu.my/842/1/Bala_Musa_Shuaibu.pdf text eng public https://etd.uum.edu.my/842/2/Bala_Musa_Shuaibu.pdf text eng public masters masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic QA76 Computer software
spellingShingle QA76 Computer software
Shuaibu, Bala Musa
Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning
description All round the world, fraud situations are significantly causing huge revenue leakage in the telecommunication companies every year. The reuse of previous cases is an important issue in dealing with fraud pattern in a data with string features. Case Based Reasoning (CBR) systems have a set of cases inform of library used to facilitate the process of validation of new cases without the direct involvement of a domain expert. The proposed detection technique in this paper is based on Case Based Reasoning used to detect the occurrence of fraud with a meaningful confidence in telecommunication data. Experimental result on the fraud data indicates that the weight for all attribute used in this study needs to be set as 0.1 in order to get 98% similarity performance.
format Thesis
qualification_name masters
qualification_level Master's degree
author Shuaibu, Bala Musa
author_facet Shuaibu, Bala Musa
author_sort Shuaibu, Bala Musa
title Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning
title_short Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning
title_full Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning
title_fullStr Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning
title_full_unstemmed Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning
title_sort detecting fraud patterns in telecommunications using case based reasoning
granting_institution Universiti Utara Malaysia
granting_department College of Arts and Sciences (CAS)
publishDate 2008
url https://etd.uum.edu.my/842/1/Bala_Musa_Shuaibu.pdf
https://etd.uum.edu.my/842/2/Bala_Musa_Shuaibu.pdf
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