Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Fraud Detection in Credit Card Transaction Using ANN and SVM Subject The topic of the resource Artificial neural network; Credit card fraud detection; SMOTE; Support vector machine Description An account of the resource Digital Payment fraudulent cases have increased with the rapid growth of e-commerce. Masses use credit card payments for both online and day-to-day purchasing. Hence, payment fraud utilizes a billion-dollar business, and it is growing fast. The frauds use different patterns to make the transactions from the cardholders account, making it difficult for the organization or the users to detect fraudulent transactions. The studys principal purpose is to develop an efficient supervised learning technique to detect credit card fraudulent transactions to minimize the customers and organizations losses. The respective classification accuracy compares supervised learning techniques such as deep learning-based ANN and machine learning-based SVM models. This studys significant outcome is to find an efficient supervised learning technique with minimum computational time and maximum accuracy to identify the fraudulent act in credit card transactions to minimize the losses incurred by the consumers and banks. 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Creator An entity primarily responsible for making the resource Shaji A.; Binu S.; Nair A.M.; George J. Source A related resource from which the described resource is derived Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol-383, pp. 187-197. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-79276-3_14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-79276-3_14</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112325735&amp;doi=10.1007%2F978-3-030-79276-3_14&amp;partnerID=40&amp;md5=8d5367f47f1279fb5571eb1f67aa45ea" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112325735&amp;doi=10.1007%2f978-3-030-79276-3_14&amp;partnerID=40&amp;md5=8d5367f47f1279fb5571eb1f67aa45ea</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18678211; ISBN: 978-303079275-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shaji A., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Binu S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Nair A.M., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; George J., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India