Fake User Account Detection in Online Social Media Networks Using Machine Learning and Neural Network Techniques
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46092-0_12
Reference40 articles.
1. Al-garadi, M.A., Varathan, K.D., Ravana, S.D.: Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network. Comput. Hum. Behav. Hum. Behav. 63, 433–443 (2016). https://doi.org/10.1016/j.chb.2016.05.051
2. Al-Zoubi, A.M., Faris, H., Alqatawna, J., Hassonah, M.A.: Evolving support vector machines using whale optimization algorithm for spam profiles detection on online social networks in different lingual contexts. Knowl.-Based Syst..-Based Syst. 153, 91–104 (2018). https://doi.org/10.1016/j.knosys.2018.04.025
3. Ansari, G., Rani, P., Kumar, V.: A novel technique of mixed gas identification based on the group method of data handling (GMDH) on time-dependent MOX gas sensor data. In: Mahapatra, R.P., Peddoju, S.K., Roy, S., Parwekar, P. (eds.) Proceedings of International Conference on Recent Trends in Computing, vol. 600, pp. 641–654. Springer Nature, Singapore (2023). https://doi.org/10.1007/978-981-19-8825-7_55
4. Balaanand, M., Karthikeyan, N., Karthik, S., Varatharajan, R., Manogaran, G., Sivaparthipan, C.B.: An enhanced graph-based semi-supervised learning algorithm to detect fake users on Twitter. J. Supercomput 75, 6085–6105 (2019)
5. Bhattacharya, A., Bathla, R., Rana, A., Arora, G.: Application of machine learning techniques in detecting fake profiles on social media. In: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), pp. 1–8 (2021)
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