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» A Unified Framework for Monitoring Data Streams in Real Time
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SIGKDD
2008
125views more  SIGKDD 2008»
13 years 7 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 9 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
INFOVIS
2005
IEEE
14 years 1 months ago
Importance-Driven Visualization Layouts for Large Time Series Data
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
SIGMOD
2005
ACM
146views Database» more  SIGMOD 2005»
14 years 7 months ago
Predicate Result Range Caching for Continuous Queries
Many analysis and monitoring applications require the repeated execution of expensive modeling functions over streams of rapidly changing data. These applications can often be exp...
Matthew Denny, Michael J. Franklin
GISCIENCE
2010
Springer
231views GIS» more  GISCIENCE 2010»
13 years 8 months ago
Efficient Data Collection and Event Boundary Detection in Wireless Sensor Networks Using Tiny Models
Using wireless geosensor networks (WGSN), sensor nodes often monitor a phenomenon that is both continuous in time and space. However, sensor nodes take discrete samples, and an ana...
Kraig King, Silvia Nittel