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» Mining time-changing data streams
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OSDI
2008
ACM
14 years 7 months ago
Carnegie Mellon's CyDAT: Harnessing a Wide Array of Telemetry Data to Enhance Distributed System Diagnostics
The number and complexity of distributed applications has exploded, and to-date, each has had to create its own method for providing diagnostic tools and performance metrics. Thes...
Chas DiFatta, Mark Poepping, Daniel V. Klein
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 4 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
SDM
2007
SIAM
106views Data Mining» more  SDM 2007»
13 years 9 months ago
Approximating Representations for Large Numerical Databases
The paper introduces a notion of support for realvalued functions. It is shown how to approximate supports of a large class of functions based on supports of so called polynomial ...
Szymon Jaroszewicz, Marcin Korzen
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 1 months ago
Local Correlation Tracking in Time Series
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
ADMA
2006
Springer
101views Data Mining» more  ADMA 2006»
14 years 1 months ago
ZED: Explaining Temporal Variations in Query Volume
We hypothesize that the variance in volume of high-velocity queries over time can be explained by observing that these queries are formulated in response to events in the world tha...
Maojin Jiang, Shlomo Argamon, Abdur Chowdhury, Kus...