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BIOSURVEILLANCE
2007
Springer
15 years 6 months ago
A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases
Algorithms for detecting anomalous events can be divided into those that are designed to detect specific diseases and those that are non-specific in what they detect. Specific dete...
Yanna Shen, Gregory F. Cooper
FEGC
2010
161views Biometrics» more  FEGC 2010»
15 years 1 months ago
Detecting anomalies in data streams using statecharts
The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
Vasile-Marian Scuturici, Dan-Mircea Suciu, Romain ...
KES
2008
Springer
14 years 11 months ago
Incremental evolution of a signal classification hardware architecture for prosthetic hand control
Evolvable Hardware (EHW) is a new method for designing electronic circuits. However, there are several problems to solve for making high performance systems. One is the limited sca...
Jim Torresen
ICDE
2006
IEEE
169views Database» more  ICDE 2006»
15 years 5 months ago
Unsupervised Outlier Detection in Time Series Data
Fraud detection is of great importance to financial institutions. This paper is concerned with the problem of finding outliers in time series financial data using Peer Group Analy...
Zakia Ferdousi, Akira Maeda
ACSAC
1998
IEEE
15 years 4 months ago
NetSTAT: A Network-Based Intrusion Detection Approach
Network-based attacks have become common and sophisticated. For this reason, intrusion detection systems are now shifting their focus from the hosts and their operating systems to...
Giovanni Vigna, Richard A. Kemmerer