Publisher
Springer International Publishing
Reference33 articles.
1. Aggarwal, A., Rajadesingan, A., Kumaraguru, P.: PhishAri: automatic realtime phishing detection on twitter. In: eCrime Researchers Summit, eCrime, pp. 1–12 (2012)
2. Alsaedi, N., Burnap, P.: Feature extraction and analysis for identifying disruptive events from social media. In: Proceeding of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 1495–1502. ACM Press (2015)
3. Anti Phishing Working Group (APWG): Phishing Activity Trends Report Q4 2016. Tech. Rep. December, APWG (2016). http://docs.apwg.org/reports/apwg_trends_report_q4_2016.pdf
4. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001). https://doi.org/10.1023/A:1010933404324
5. Burnap, P., et al.: Detecting tension in online communities with computational Twitter analysis. Technol. Forecast. Soc. Change 95, 96–108 (2015). https://doi.org/10.1016/j.techfore.2013.04.013