CREDIT CARD USERS’ CLASSIFICATION USING DNN

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Prof. Sarika Bobde , Mr. Rohit Hirurkar

Abstract

These days, the Internet is a significant element of our life. Because of the wide utilization of the web, the situation with internet shopping is differs step by step. TheCredit Card is the least demanding technique for web based shopping and taking care of bills. Hence, Credit Card becomes famous and fitting methodology for online cash exchange and it is becoming rapidly. In this paper, AI calculations are used for the
location of Visa misrepresentation.From that point forward, a genuine charge card dataset from a monetary association is assessed. Furthermore, commotion is added to the instances of information to additionally assess the durability of the calculations. In this paper, researcher focuses on credit card user’s classification using DNN. Also, we explain the introduction of different coordinated AI computations that are existed
recorded as a hard copy against the incredible classifier that it executed in this paper. The finished result of this system have earnestly separated that the greater part of projecting a polling form strategy gets better quality, accuracy extents in getting blackmail cases in MasterCard's for conspicuous verification of real MasterCard trade data.

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