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» Detecting Inconsistencies in Distributed Data
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VLDB
2004
ACM
129views Database» more  VLDB 2004»
14 years 2 months ago
Detecting Change in Data Streams
Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In...
Daniel Kifer, Shai Ben-David, Johannes Gehrke
RAID
2009
Springer
14 years 3 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
BMCBI
2006
187views more  BMCBI 2006»
13 years 9 months ago
Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
Harvey J. Motulsky, Ronald E. Brown
IPPS
2008
IEEE
14 years 3 months ago
Outlier detection in performance data of parallel applications
— When an adaptive software component is employed to select the best-performing implementation for a communication operation at runtime, the correctness of the decision taken str...
Katharina Benkert, Edgar Gabriel, Michael M. Resch
BMCBI
2008
128views more  BMCBI 2008»
13 years 9 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...