1. Auld, T., Moore, A.W., Gull, S.F.: Bayesian neural networks for internet traffic classification. IEEE Trans. Neural Netw. 18(1), 223–239 (2007).
https://doi.org/10.1109/TNN.2006.883010
2. Card, S.K., Mackinlay, J.D., Shneiderman, B. (eds.): Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers Inc., San Francisco (1999)
3. Cisco and/or its affiliates: Cisco visual networking index: forecast and methodology, 2016–2021. Technical report C11-481360-01. Cisco Systems, Inc. (2017).
https://www.cisco.com/c/en/us/solutions/service-provider/visual-networking-index-vni/index.html
4. Engel, D., Hagen, H., Hamann, B., Rosenbaum, R.: Structural decomposition trees: semantic and practical implications. In: Csurka, G., Kraus, M., Laramee, R.S., Richard, P., Braz, J. (eds.) Computer Vision, Imaging and Computer Graphics. Theory and Application, pp. 193–208. Springer, Berlin (2013)
5. flowRecorder: A network traffic flow feature measurement tool (2018).
https://github.com/drnpkr/flowRecorder