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» Sketching asynchronous data streams over sliding windows
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PODS
2006
ACM
217views Database» more  PODS 2006»
15 years 9 months ago
A simpler and more efficient deterministic scheme for finding frequent items over sliding windows
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
Lap-Kei Lee, H. F. Ting
ICDE
2005
IEEE
173views Database» more  ICDE 2005»
15 years 10 months ago
Stabbing the Sky: Efficient Skyline Computation over Sliding Windows
We consider the problem of efficiently computing the skyline against the most recent N elements in a data stream seen so far. Specifically, we study the n-of-N skyline queries; th...
Xuemin Lin, Yidong Yuan, Wei Wang 0011, Hongjun Lu
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 1 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
PODS
2003
ACM
143views Database» more  PODS 2003»
15 years 9 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...
ICDE
2009
IEEE
278views Database» more  ICDE 2009»
15 years 11 months ago
Probabilistic Skyline Operator over Sliding Windows
Abstract-- Skyline computation has many applications including multi-criteria decision making. In this paper, we study the problem of efficient processing of continuous skyline que...
Wenjie Zhang, Xuemin Lin, Ying Zhang, Wei Wang 001...