Maheshkumar Sabhnani
Maheshkumar Sabhnani
Patvirtintas el. paštas
Application of machine learning algorithms to KDD intrusion detection dataset within misuse detection context.
M Sabhnani, G Serpen
MLMTA, 209-215, 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
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
KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection.
M Sabhnani, G Serpen
Security and Management, 310-316, 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
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
Detecting elongated disease clusters
DB Neill, AW Moore, MR Sabhnani
Morbidity and Mortality Weekly Report 54 (Supplement on Syndromic …, 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
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
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
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
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
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
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
Searching for complex patterns using disjunctive anomaly detection
M Sabhnani, A Dubrawski, J Schneider
Online Journal of Public Health Informatics 5 (1), 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
A robust expectation-based spatial scan statistic
DB Neill, MR Sabhnani
Advances in Disease Surveillance 2 (61), 183-197, 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
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
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
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