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» Window Specification over Data Streams
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PODS
2003
ACM
143views Database» more  PODS 2003»
14 years 8 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...
EDBT
2009
ACM
166views Database» more  EDBT 2009»
14 years 1 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
ICDE
2008
IEEE
192views Database» more  ICDE 2008»
14 years 10 months ago
Verifying and Mining Frequent Patterns from Large Windows over Data Streams
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Barzan Mozafari, Hetal Thakkar, Carlo Zaniolo
FEGC
2008
111views Biometrics» more  FEGC 2008»
13 years 10 months ago
Semantics of Spatial Window over Spatio-Temporal Data Stream
Yi Yu, Talel Abdessalem, Junwei Yan
KAIS
2008
97views more  KAIS 2008»
13 years 8 months ago
Tracking clusters in evolving data streams over sliding windows
Aoying Zhou, Feng Cao, Weining Qian, Cheqing Jin