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@article{152012,
        author = {M.V.Harshavardhan and Arun DV and Arjun M},
        title = {Credit Card Fraud Detection Using Hidden Markov Model.},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {70-76},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152012},
        abstract = {Due to rapid advancement of computer science technology and commercial, there is a rapid increases in the use of credit cards. As the credit card is the most popular way of  purchasing the goods by offline or online. There is a rise of frauds involving the credit cards. In this paper, we have proposed Hidden Markov Model(HMM) to detect the fraudulent transactions. It is trained with the card holder’s spending habits If it rejected by the system, then transaction is considered as fraudulent. At the same time, no genuine transaction should be rejected.  },
        keywords = {Hidden Markov Model, Credit card, fraudulent transaction and genuine transaction, mode of payment, offline and  online.},
        month = {},
        }