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2006
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A simpler and more efficient deterministic scheme for finding frequent items over sliding windows

12 years 8 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 the distribution of the item frequencies. It supports O(1/) update and query time, and uses O(1/) space. It is very simple; its main data structures are just a few short queues whose entries store the position of some items in the sliding window. We also extend our scheme for variable-size window. This extended scheme uses O(1/ log(n)) space. Categories and Subject Descriptors F.2 [Theory of Computation]: Analysis of Algorithms and Problem Complexity General Terms Algorithms, Theory Keywords Data Mining, Streaming Algorithms, Frequent Items, Network Monitoring
Lap-Kei Lee, H. F. Ting
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2006
Where PODS
Authors Lap-Kei Lee, H. F. Ting
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