Kernel Methods in Anomaly Detection
The objectives of this research is about evaluation of accuracy and performance of different kernel methods. The results of these methods are demonstrated on credit card fraud dataset to show superiority of one-class SVM (Super Vextor Machine) for anomaly detection problem.
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2012
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my-mmu-ep.36462012-11-27T01:34:49Z Kernel Methods in Anomaly Detection 2012-01 Hejazi, Maryamsadat QA76.75-76.765 Computer software The objectives of this research is about evaluation of accuracy and performance of different kernel methods. The results of these methods are demonstrated on credit card fraud dataset to show superiority of one-class SVM (Super Vextor Machine) for anomaly detection problem. 2012-01 Thesis http://shdl.mmu.edu.my/3646/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Faculty of Computing and Informatics |
| institution |
Multimedia University |
| collection |
MMU Institutional Repository |
| topic |
QA76.75-76.765 Computer software |
| spellingShingle |
QA76.75-76.765 Computer software Hejazi, Maryamsadat Kernel Methods in Anomaly Detection |
| description |
The objectives of this research is about evaluation of accuracy and performance of different kernel methods. The results of these methods are demonstrated on credit card fraud dataset to show superiority of one-class SVM (Super Vextor Machine) for anomaly detection problem. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Hejazi, Maryamsadat |
| author_facet |
Hejazi, Maryamsadat |
| author_sort |
Hejazi, Maryamsadat |
| title |
Kernel Methods in Anomaly Detection |
| title_short |
Kernel Methods in Anomaly Detection |
| title_full |
Kernel Methods in Anomaly Detection |
| title_fullStr |
Kernel Methods in Anomaly Detection |
| title_full_unstemmed |
Kernel Methods in Anomaly Detection |
| title_sort |
kernel methods in anomaly detection |
| granting_institution |
Multimedia University |
| granting_department |
Faculty of Computing and Informatics |
| publishDate |
2012 |
| _version_ |
1747829534244208640 |