Data mining process for fraud detection in mobile communication
Without dependence from a sort of activity (sale, rendering of services, etc.) the using of data mining methods can bring the certain advantage. Fraud detection methods of data mining can be applied to this problem quite readily. Three important elements of a data mining application/solution are pr...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius University Press
2004-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/LMR/article/view/31698 |
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| _version_ | 1832593220934041600 |
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| author | Jelena Mamčenko Regina Kulvietienė |
| author_facet | Jelena Mamčenko Regina Kulvietienė |
| author_sort | Jelena Mamčenko |
| collection | DOAJ |
| description |
Without dependence from a sort of activity (sale, rendering of services, etc.) the using of data mining methods can bring the certain advantage.
Fraud detection methods of data mining can be applied to this problem quite readily. Three important elements of a data mining application/solution are present. These are the ability to handle large amounts of data, suitable methods and algorithms, and the availability of domain expertise.
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| format | Article |
| id | doaj-art-c659e50bfab245c699027218e84fc7c2 |
| institution | Kabale University |
| issn | 0132-2818 2335-898X |
| language | English |
| publishDate | 2004-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj-art-c659e50bfab245c699027218e84fc7c22025-01-20T18:17:05ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2004-12-0144spec.10.15388/LMR.2004.31698Data mining process for fraud detection in mobile communicationJelena Mamčenko0Regina Kulvietienė1Vilnius Gediminas Technical University Vilnius Gediminas Technical University Without dependence from a sort of activity (sale, rendering of services, etc.) the using of data mining methods can bring the certain advantage. Fraud detection methods of data mining can be applied to this problem quite readily. Three important elements of a data mining application/solution are present. These are the ability to handle large amounts of data, suitable methods and algorithms, and the availability of domain expertise. https://www.journals.vu.lt/LMR/article/view/31698data miningintelligent miner for dataneural and demographic clusteringfraud |
| spellingShingle | Jelena Mamčenko Regina Kulvietienė Data mining process for fraud detection in mobile communication Lietuvos Matematikos Rinkinys data mining intelligent miner for data neural and demographic clustering fraud |
| title | Data mining process for fraud detection in mobile communication |
| title_full | Data mining process for fraud detection in mobile communication |
| title_fullStr | Data mining process for fraud detection in mobile communication |
| title_full_unstemmed | Data mining process for fraud detection in mobile communication |
| title_short | Data mining process for fraud detection in mobile communication |
| title_sort | data mining process for fraud detection in mobile communication |
| topic | data mining intelligent miner for data neural and demographic clustering fraud |
| url | https://www.journals.vu.lt/LMR/article/view/31698 |
| work_keys_str_mv | AT jelenamamcenko dataminingprocessforfrauddetectioninmobilecommunication AT reginakulvietiene dataminingprocessforfrauddetectioninmobilecommunication |