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Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning

Shuaibu, Bala Musa (2008) Detecting Fraud Patterns in Telecommunications Using Case Based Reasoning. Masters thesis, Universiti Utara Malaysia.

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Abstract

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.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Computer Software, Detection Technique, Case Based Reasoning (CBR), Fraud Pattern, Telecommunication Companies
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences (CAS)
Depositing User: Mr Husni Ismail
Date Deposited: 30 Dec 2009 03:03
Last Modified: 24 Jul 2013 12:09
URI: http://etd.uum.edu.my/id/eprint/842

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