Detection of Fraudulent Credit Card Transactions in Real Time Using SparkML and Kafka-Reference-Cited by-同舟云学术

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Detection of Fraudulent Credit Card Transactions in Real Time Using SparkML and Kafka

Published:2023 Issue: Volume: Page:285-295
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Ashwin V.,Menon Vishal,Devagopal A. M.,Nived P. A.,Udayan Divya J.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6088-8_26

Reference16 articles.

1. Maniraj S, Saini A, Ahmed S, Sarkar S (2019) Credit card fraud detection using machine learning and data science. Int J Eng Res 8(09)

2. Modi K, Dayma R (2017) Int J Adv Res Eng Sci Technol Trans 4(8)

3. Le Noac’H P, Costan A, Bougé L (2017) A performance evaluation of apache kafka in support of big data streaming applications. In: 2017 IEEE international conference on big data (big data). IEEE, pp 4803–4806

4. Higgs boson discovery using machine learning methods with pyspark. Proced Comput Sci 170:1141–1146 (2020). https://doi.org/10.1016/j.procs.2020.03.053, https://www.sciencedirect.com/science/article/pii/S1877050920304907, the 11th international conference on ambient systems, networks and technologies (ANT)/the 3rd international conference on emerging data and industry 4.0 (EDI40)/affiliated workshops

5. Quah JT, Sriganesh M (2008) Real-time credit card fraud detection using computational intelligence. Expert Syst Appl 35(4):1721–1732

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Smart Application of Data Mining in the Detection of Fraudulent Transactions;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

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