Author:
Patil Rahul A.,Chaudhari Chetana C.
Reference12 articles.
1. Cao, Q., Sirivianos, M., Yang, X., & Pregueiro, T. (2012). Aiding the detection of fake accounts in large scale social online services. In: Proceedings symposium network systems and design implementation (NSDI) (pp. 197–210).
2. Stringhini, G., Kruegel, C., & Vigna, G. (2010). Detecting spammers on social networks. In Proceedings of 26th annual computer security applications conference (pp. 1–9).
3. Song, J., Lee, S., & Kim, J. (2011). Spam filtering in Twitter using sender receiver relationship. In Proceedings 14th international conference recent advanced intrusion detection (pp. 301–317).
4. Lee, K., Caverlee, J., & Webb, S. (2010). Uncovering social spammers: Social honeypots + machine learning. In Proceedings 33rd international ACM SIGIR conference research and development information retrieval (pp. 435–442).
5. Aston, N., Liddle, J., & Hu, W. (2014). Twitter sentiment in data streams with perceptron. Journal of Computer and Communications, 2(11).