TY - JOUR AU - Dr. D. Rajalakshmi, Deepthi K, Kiruthika V, Jothika M, Indhiraelanthenral Salich J.T, PY - 2021/11/27 Y2 - 2024/03/28 TI - CREDIT CARD FRAUD PREDICTION WITH IMPROVED ACCURACY JF - International Journal of Modern Agriculture JA - IJMA VL - 10 IS - 3 SE - DO - UR - http://modern-journals.com/index.php/ijma/article/view/1516 SP - 83 - 92 AB - <p>The emergence of modern technology has made us think in an ingenious way to save our time. In such a way innovation of Credit cards in e-commerce, technology plays a major role in our day-to-day life. Transactions are made easy in a single swipe by using credit cards. Hence, the usage of credit cards has increased worldwide, so the fraudulent actions also increased rapidly. Identification of fraudulent activities is important to protect the money of every cardholder. Referring to maximum papers, we have come up with a solution for fraudulent detection using classifiers of machine learning. Instead of using a single classifier to identify the fraudulent combining all classifiers, an average of those provides highly accurate results.</p> ER -