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» NADA - Network Anomaly Detection Algorithm
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DMIN
2007
110views Data Mining» more  DMIN 2007»
13 years 9 months ago
Mining for Structural Anomalies in Graph-based Data
—In this paper we present graph-based approaches to mining for anomalies in domains where the anomalies consist of unexpected entity/relationship alterations that closely resembl...
William Eberle, Lawrence B. Holder
ICASSP
2011
IEEE
12 years 11 months ago
Multi-stage infrared stationary human detection
Detecting stationary human targets is crucial in ensuring safe operation of unmanned ground vehicles. In this paper, a multi-stage detection algorithm for stationary humans in inf...
Alex Lipchen Chan
ICARIS
2005
Springer
14 years 1 months ago
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques
The (randomized) real-valued negative selection algorithm is an anomaly detection approach, inspired by the negative selection immune system principle. The algorithm was proposed t...
Thomas Stibor, Jonathan Timmis, Claudia Eckert
JFP
2007
103views more  JFP 2007»
13 years 7 months ago
Warnings for pattern matching
We examine the ML pattern-matching anomalies of useless clauses and non-exhaustive matches. We state the definition of these anomalies, building upon pattern matching semantics, ...
Luc Maranget
CORR
2011
Springer
213views Education» more  CORR 2011»
13 years 2 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...