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 An Approach for Detecting Frauds in E-Commerce Transactions using Machine Learning Techniques Subject The topic of the resource Credit card; Decision Tree(DT); Fraud detection; Frauds; K-Nearest Neighbor; Logistic regression; Random Forest(RF); Supervised machine learning algorithm; Support Vector Machine(SVM) Description An account of the resource This paper is primarily focused on E-commerce fraud detection using machine learning techniques. There are many different ways to detect E-commerce fraud using machine learning approach. In this work, comparison study is conducted between various available machine learning algorithms to detect the online frauds. During the comparative study, focus is underlined on comparison of all the algorithms to identify the fraud transactions. When compared to other algorithms, such as support vector machine, Decision Tree, K-nearest neighbour and Random Forest, it has been observed that Logistic regression gives better result among all machine learning algorithms. 2021 IEEE. Creator An entity primarily responsible for making the resource Abhirami K.; Pani A.K.; Manohar M.; Kumar P. Source A related resource from which the described resource is derived Proceedings - 2nd International Conference on Smart Electronics and Communication, ICOSEC 2021, pp. 826-831. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. 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/10.1109/ICOSEC51865.2021.9591720" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOSEC51865.2021.9591720</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123181008&amp;doi=10.1109%2FICOSEC51865.2021.9591720&amp;partnerID=40&amp;md5=482e6b5af6f82f2708ea42139331d2d4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123181008&amp;doi=10.1109%2fICOSEC51865.2021.9591720&amp;partnerID=40&amp;md5=482e6b5af6f82f2708ea42139331d2d4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543368-6 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 Abhirami K., School of Engineering and Technology Christ(Deemed To Be University), Department of Computer Science and Engineering, Bangalore, India; Pani A.K., School of Engineering and Technology Christ(Deemed To Be University), Department of Computer Science and Engineering, Bangalore, India; Manohar M., School of Engineering and Technology Christ(Deemed To Be University), Department of Computer Science and Engineering, Bangalore, India; Kumar P., Motihari College of Engineering, Department of Computer Science and Engineering, Bihar, Motihari, India