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:en
en
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
https://etd.uum.edu.my/842/
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author Shuaibu, Bala Musa
author_facet Shuaibu, Bala Musa
author_sort Shuaibu, Bala Musa
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
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.
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institution Universiti Utara Malaysia
language en
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publishDate 2008
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spelling my.uum.etd-8422023-11-26T02:04:36Z https://etd.uum.edu.my/842/ Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning Shuaibu, Bala Musa 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 NonPeerReviewed text en https://etd.uum.edu.my/842/1/Bala_Musa_Shuaibu.pdf text en https://etd.uum.edu.my/842/2/Bala_Musa_Shuaibu.pdf Shuaibu, Bala Musa (2008) Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning. Masters thesis, Universiti Utara Malaysia.
spellingShingle QA76 Computer software
Shuaibu, Bala Musa
Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning
title 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_short Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning
title_sort detecting fraud patterns in telecommunications using case based reasoning
topic QA76 Computer software
url https://etd.uum.edu.my/842/1/Bala_Musa_Shuaibu.pdf
https://etd.uum.edu.my/842/2/Bala_Musa_Shuaibu.pdf
https://etd.uum.edu.my/842/
url_provider http://etd.uum.edu.my/