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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Fraudulent Detection in Credit Card System Using SVM & Decision Tree |
| Authors Name: | Vijayshree Bhaskar Nipane , Poonam S. Kalinge , Dipali Vidhate , Kunal War , Bhagyashree P. Deshpande |
| Unique Id: | IJSDR1605113 |
| Published In: | Volume 1 Issue 5, May-2016 |
| Abstract: | With growing advancement in the electronic commerce field, fraud is spreading all over the world, causing major financial losses. In current sce-nario, Major cause of financial losses is credit card fraud; it not only affects tra-des person but also individual clients. Decision tree, Genetic algorithm, Meta learning strategy, neural network, HMM are the presented methods use to detect credit card frauds. In contemp-late system for fraudulent detection, artificial intelligence concept of Support Vector Machine (SVM) & decision tree is being used to solve the problem. Thus by implementation of this hybrid approach, financial losses can be reduced to greater extend. |
| Keywords: | SVM; Decision Tree; Model File; Prediction File; Libsvmtools; LIBSVM; fraudster; |
| Cite Article: | "Fraudulent Detection in Credit Card System Using SVM & Decision Tree", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 5, page no.590 - 594, May-2016, Available :http://www.ijsdr.org/papers/IJSDR1605113.pdf |
| Downloads: | 000337071 |
| Publication Details: | Published Paper ID: IJSDR1605113 Registration ID:160368 Published In: Volume 1 Issue 5, May-2016 DOI (Digital Object Identifier): Page No: 590 - 594 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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