We present a simple, intuitive algorithm for the problem of finding an approximate list of the k most frequent items in a data stream when the item frequencies are Zipf-distributed. Our result improves the previous result of Charikar, Chen and Farach-Colton for the same problem when the Zipf parameter is low. We also highlight an application of the algorithm to web caching that may be of practical interest.
Title
An Improved Frequent Items Algorithm with Applications to Web Caching
Published
1905-06-27
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
CSD-05-1383
Type
Text
Extent
12 p
Archive
The Engineering Library
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