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ICASSP
2011
IEEE
12 years 8 months ago
Robust changepoint detection based on multivariate rank statistics
We introduce a novel statistical test for unsupervised detection of changepoints in multidimensional sequences of temporal observations. The test statistic is based on a multivari...
Alexandre Lung-Yut-Fong, Céline Lévy...
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
14 years 2 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
VLDB
2007
ACM
137views Database» more  VLDB 2007»
13 years 11 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl
INFOCOM
2009
IEEE
13 years 11 months ago
Robust Event Boundary Detection in Sensor Networks - A Mixture Model Based Approach
—Detecting event frontline or boundary sensors in a complex sensor network environment is one of the critical problems for sensor network applications. In this paper, we propose ...
Min Ding, Xiuzhen Cheng
CSDA
2007
102views more  CSDA 2007»
13 years 4 months ago
On the robust detection of edges in time series filtering
Abstract: Abrupt shifts in the level of a time series represent important information and should be preserved in statistical signal extraction. We investigate rules for detecting l...
Roland Fried