| Application of machine learning algorithms to KDD intrusion detection dataset within misuse detection context. M Sabhnani, G Serpen MLMTA, 209-215, 2003 | 421 | 2003 |
| Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set M Sabhnani, G Serpen Intelligent data analysis 8 (4), 403-415, 2004 | 201 | 2004 |
| Detection of emerging space-time clusters DB Neill, AW Moore, M Sabhnani, K Daniel Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 172 | 2005 |
| KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection. M Sabhnani, G Serpen Security and Management, 310-316, 2003 | 39 | 2003 |
| Detecting anomalous patterns in pharmacy retail data MR Sabhnani, D Neill, A Moore, FC Tsui, M Wagner, J Espino Proceedings of the KDD 2005 workshop on data mining methods for anomaly …, 2005 | 31 | 2005 |
| On failure of machine learning algorithms for detecting misuse in KDD intrusion detection data set M Sabhnani Journal of Intelligent Data Analysis 8 (4), 403-415, 2004 | 19 | 2004 |
| Detecting elongated disease clusters DB Neill, AW Moore, MR Sabhnani Morbidity and Mortality Weekly Report 54 (Supplement on Syndromic …, 2005 | 18 | 2005 |
| T-Cube Web Interface: a tool for immediate visualization, interactive manipulation and analysis of large sets of multivariate time series. S Ray, A Michalska, M Sabhnani, A Dubrawski, M Baysek, L Chen, ... AMIA... Annual Symposium proceedings. AMIA Symposium, 1106-1106, 2008 | 11 | 2008 |
| T-Cube as an enabling technology in surveillance applications A Dubrawski, M Sabhnani, S Ray, J Roure, M Baysek Advances in Disease Surveillance 4 (6), 2007 | 11 | 2007 |
| T-Cube: A data structure for fast extraction of time series from large datasets M Sabhnani, AW Moore, AW Dubrawski Carnegie Mellon University, School of Computer Science, Machine Learning …, 2007 | 10 | 2007 |
| Rapid processing of ad-hoc queries against large sets of time series M Sabhnani, A Moore, A Dubrawski Advances in Disease Surveillance 2, 66, 2007 | 9 | 2007 |
| Monitoring food safety by detecting patterns in consumer complaints A Dubrawski, K Elenberg, A Moore, M Sabhnani Proceedings of the National Conference on Artificial Intelligence 21 (2), 1782, 2006 | 9 | 2006 |
| Measuring similarity in feature space of knowledge entailed by two separate rule sets G Serpen, M Sabhnani Knowledge-Based Systems 19 (1), 67-76, 2006 | 9 | 2006 |
| Formulation of a Heuristic Rule for Misuse and Anomaly Detection for U2R Attacks in Solaris Operating System Environment. M Sabhnani, G Serpen Security and Management, 390-396, 2003 | 9 | 2003 |
| Searching for complex patterns using disjunctive anomaly detection M Sabhnani, A Dubrawski, J Schneider Online Journal of Public Health Informatics 5 (1), 2013 | 7 | 2013 |
| T-Cube Web Interface as a tool for detecting disease outbreaks in real-time: A pilot in India and Sri Lanka N Waidyanatha, C Sampath, A Dubrawski, M Sabhnani, L Chen, ... 2010 IEEE RIVF International Conference on Computing & Communication …, 2010 | 7 | 2010 |
| A robust expectation-based spatial scan statistic DB Neill, MR Sabhnani Advances in Disease Surveillance 2 (61), 183-197, 2007 | 7 | 2007 |
| Efficient analytics for effective monitoring of biomedical security M Sabhnani, D Neill, A Moore, A Dubrawski, W Wong Proceedings of the International Conference on Information and Automation, 2005 | 7 | 2005 |
| T-Cube web interface in support of real-time bio-surveillance program A Dubrawski, M Sabhnani, M Knight, M Baysek, D Neill, S Ray, ... 2009 International Conference on Information and Communication Technologies …, 2009 | 5 | 2009 |
| Discovering Possible Linkages between Foodborne Illness and the Food Supply Using an Interactive Analysis Tool A Dubrawski, M Sabhnani, P Fedorka-Cray, L Kelley, P Gerner-Smidt, ... 8th Annual Conference of the International Society for Disease Surveillance, 2009 | 5 | 2009 |
