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@article{164997,
        author = {Shikhar Agrahari and Arun Kumar  and Tanu and Abhinay Patel and Abhinav Chauhan and Mrs. Meenu Sharma},
        title = {Analysis Of Optimization Techniques For Credit Card Fraud Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2965-2975},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164997},
        abstract = {In Today’s scenario where we are promoting and going cashless to protect our cash currency from thefts. We are using credit cards and other online transaction methods. Now thefts and criminals find new ways to stole our money by doing fraud from our credit cards. To minimize these frauds we use computer programs that can learn from data to help catch fraud and aware the users from it. In our study, we looked at different ways to use these computer programs to find fraud and keep people's information safe. This review paper provides a comprehensive overview of the current state of credit card fraud detection techniques. It examines the various machine learning approaches used to identify and mitigate fraudulent credit card transactions, including supervised and unsupervised learning algorithms, as well as emerging trends and future research directions in this field.},
        keywords = {Smart Computers, Credit Card Fraud, Working Together, Privacy, New Idea.},
        month = {},
        }