Maheshkumar Sabhnani
Maheshkumar Sabhnani
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Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection Context.
M Sabhnani, G Serpen
MLMTA, 209-215, 2003
3522003
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
1692004
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
1482005
KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection.
M Sabhnani, G Serpen
Security and Management, 310-316, 2003
312003
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
282005
Detecting elongated disease clusters
DB Neill, AW Moore, MR Sabhnani
Morbidity and Mortality Weekly Report 54 (Supplement on Syndromic …, 2005
192005
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
192004
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, 2008
112008
T-Cube: A data structure for fast extraction of time series from large datasets
M Sabhnani, AW Moore, AW Dubrawski
CARNEGIE-MELLON UNIV PITTSBURGH PA MACHINE LEARNING DEPT, 2007
102007
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
102007
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
92003
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
82007
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
82006
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
82006
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
72010
A robust expectation-based spatial scan statistic
DB Neill, MR Sabhnani
Advances in Disease Surveillance 2 (61), 183-197, 2007
72007
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
72005
Searching for Complex Patterns Using Disjunctive Anomaly Detection
M Sabhnani, A Dubrawski, J Schneider
Online Journal of Public Health Informatics 5 (1), 2013
52013
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
52009
Interactive manipulation, visualization analysis of large sets of multidimensional time series in health informatics
A Dubrawski, M Sabhnani, S Ray, M Baysek, L Chen, J Ostlund, M Knight
INFORMS Workshop on Data Mining and Health Informatics, 2008
42008
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Artiklar 1–20