- Mittal, S., & Tyagi, S. (2020). “Computational Techniques for Real-Time Credit Card Fraud Detection”. In Handbook of Computer Networks and Cyber Security, PP: (653-681). Springer, Cham.
- Adebola, A. B. (2019). “Comparative Analysis of Back-propagation Neural Network and K-Means Clustering Algorithm in Fraud Detection in Online Credit Card Transactions”. Fountain Journal of Natural and Applied Sciences, 8(1).
- Singla, A., & Jangir, H. (2020, February). “A Comparative Approach to Predictive Analytics with Machine Learning for Fraud Detection of Real time Financial Data”. In 2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) PP: (1-4). IEEE.
- Yousefi, N., Alaghband, M., & Garibay, I. (2019). “A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection”. arXiv preprint arXiv:1912.02629.
- Mishra, C., Gupta, D. L., & Singh, R. (2017). “Credit Card Fraud Identification Using Artificial Neural Networks”. International Journal of Computer Systems, 4(07).
- Adewumi, A. O., & Akinyelu, A. A. (2017).” A survey of machine-learning and nature-inspired based credit card fraud detection techniques”. International Journal of System Assurance Engineering and Management, 8(2),PP: ( 937-953).
- Kültür, Y., & Çağlayan, M. U. (2017). “Hybrid approaches for detecting credit card fraud”. Expert Systems, 34(2), e12191.
- Kavitha, M., & Suriakala, M. (2017, November). “Real time credit card fraud detection on huge imbalanced data using meta-classifiers”. In 2017 international conference on inventive computing and informatics (ICICI), PP: (881-887). IEEE.
- Fu, K., Cheng, D., Tu, Y., & Zhang, L. (2016, October). “Credit card fraud detection using convolutional neural networks”. In International Conference on Neural Information Processing, PP: (483-490). Springer, Cham.
- Bahnsen, A. C., Aouada, D., Stojanovic, A., & Ottersten, B. (2016). “Feature engineering strategies for credit card fraud detection”. Expert Systems with Applications, 51,PP: (134-142).
- Mareeswari, V., & Gunasekaran, G. (2016, February). “Prevention of credit card fraud detection based on HSVM”. In 2016 International Conference on Information Communication and Embedded Systems (ICICES), PP: ( 1-4). IEEE.
- Hegazy, M., Madian, A., & Ragaie, M. (2016). “Enhanced fraud miner: credit card fraud detection using clustering data mining techniques”. Egyptian Computer Science Journal (ISSN: 1110–2586), 40(03).
- Duman, E., & Sahin, Y. (2016). “A comparison of classification models on credit card fraud detection with respect to cost-based performance metrics”. Use of Risk Analysis in Computer-Aided Persuasion. NATO Science for Peace and Security Series E: Human and Societal Dynamics, 88, PP: 88-99.
- Xu, J., Chen, D., & Chau, M. (2016, September). “Identifying features for detecting fraudulent loan requests on P2P platforms”. In 2016 IEEE Conference on Intelligence and Security Informatics (ISI), PP: (79-84). IEEE.
- Albashrawi, M., & Lowell, M. (2016). “Detecting financial fraud using data mining techniques: A decade review from 2004 to 2015”. Journal of Data Science, 14(3), PP: (553-569).
- Zareapoor, M., & Shamsolmoali, P. (2015). “Application of credit card fraud detection: Based on bagging ensemble classifier”. Procedia computer science, 48(2015), PP: (679-685).
- Shimpi, P. R., & Kadroli, V. (2015). “Survey on credit card fraud detection techniques”. International Journal Of Engineering And Computer Science, 4(11).
- Prakash, A., & Chandrasekar, C. (2015). “An optimized multiple semi-hidden markov model for credit card fraud detection”. Indian Journal of Science and Technology, 8(2), 176.
- Singh, P., & Singh, M. (2015). “Fraud detection by monitoring customer behavior and activities”. International Journal of Computer Applications, 111(11).
- Nune, G. K., & Sena, P. V. (2015). “Novel artificial neural networks and logistic approach for detecting credit card deceit”. International Journal of Computer Science and Network Security (IJCSNS), 15(9), 21.
- Bahnsen, A. C., Aouada, D., Stojanovic, A., & Ottersten, B. (2015, December). “Detecting credit card fraud using periodic features”. In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), PP: (208-213). IEEE.
- Mittal, S., & Tyagi, S. (2020). “Computational Techniques for Real-Time Credit Card Fraud Detection”. In Handbook of Computer Networks and Cyber Security, PP: (653-681). Springer, Cham.
- Cheng, D., Xiang, S., Shang, C., Zhang, Y., Yang, F., & Zhang, L. (2020, April). “Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection”. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34, No. 01, PP: (362-369).
- Singla, A., & Jangir, H. (2020, February). “A Comparative Approach to Predictive Analytics with Machine Learning for Fraud Detection of Realtime Financial Data”. In 2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3), PP: ( 1-4). IEEE.
- Sudha, C., & Akila, D. (2020).” Credit Card Fraud Detection Using AES Technic”. In Intelligent Computing and Innovation on Data Science, PP: (91-98). Springer, Singapore.
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