1. R. Heady, G. Luger, A. Maccabe, M. Servilla, The architecture of a network level intrusion detection system. Technical report, Computer Science Department, University of New Mexico, August 1990.
2. J.P. Anderson, et al. Detecting Unusual Program Behavior Using the Statistical Components of NIDES, Computer Science Laboratory SRI-CSL-95-06, 1995.
3. H. Debar, M. Becker, D. Siboni, A Neural Network Component for an Intrusion Detection System, Proceedings of IEEE Symposium on Security and Privacy, Oakland CA, pp. 240-251,1992.
4. C. Taylor, J.A. Foss, NATE: Network Analysis of Anomalous Traffic Events, A Low-cost Approach, Proceedings of New Security Paradigms Workshop, New Mexico USA, pp. 89-96, 2002.
5. G.W. Dekker, M. Pechenizkiy, J.M. Vleeshouwers, Predicting Students Drop Out: A Case Study, Proceedings of 2nd International Conference On Educational Data Mining, Cordoba, Spain, July 1-3, 2009, pp 41-50.