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@article{144120,
        author = {Krunal Surti and Ashish Patel and Shyamal Pandya},
        title = {A Survey of Anomaly Detection Technique for Credit Default},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {7},
        pages = {25-28},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144120},
        abstract = {Anomaly Detection is the process of classify unusual behavior. It is important data analysis task used for classify interesting and emerging patterns, trends and anomalies from data. Anomaly detection is an important tool to detect irregularity in many different domains including financial fraud detection, computer network intrusion, human behavioral analysis and many more. In today’s era the credit and Loan Default is become high because of many fraudulent activity or increase online purchases. This paper give survey about many technique for anomaly detection in credit or loan default.},
        keywords = {Anomaly Detection, Credit Default},
        month = {},
        }