An Approach for Detecting Frauds in E-Commerce Transactions using Machine Learning Techniques
- Title
- An Approach for Detecting Frauds in E-Commerce Transactions using Machine Learning Techniques
- Description
- Proceedings - 2nd International Conference on Smart Electronics and Communication, ICOSEC 2021 pp.826-831
- Creator
- Abhirami K.; Pani A.K.; Manohar M.; Kumar P.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123181008&doi=10.1109%2fICOSEC51865.2021.9591720&partnerID=40&md5=482e6b5af6f82f2708ea42139331d2d4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123181008&doi=10.1109%2fICOSEC51865.2021.9591720&partnerID=40&md5=482e6b5af6f82f2708ea42139331d2d4</a>
- Date
- 2021-01-01
Collection
Citation
Abhirami K.; Pani A.K.; Manohar M.; Kumar P., “An Approach for Detecting Frauds in E-Commerce Transactions using Machine Learning Techniques,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10900.