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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| 格式: | Thesis |
| 語言: | eng eng |
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2008
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| 在線閱讀: | 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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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 |
| _version_ |
1783729376431439872 |