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KAIS
2008
97views more  KAIS 2008»
13 years 10 months ago
Tracking clusters in evolving data streams over sliding windows
Aoying Zhou, Feng Cao, Weining Qian, Cheqing Jin
EDBT
2009
ACM
166views Database» more  EDBT 2009»
14 years 3 months ago
Neighbor-based pattern detection for windows over streaming data
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward
PODS
2003
ACM
143views Database» more  PODS 2003»
14 years 11 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
ISMIS
2009
Springer
14 years 5 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
14 years 4 months ago
Stream Window Join: Tracking Moving Objects in Sensor-Network Databases
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...