Frequency Estimation over Sliding Windows

  • Authors:
  • Linfeng Zhang;Yong Guan

  • Affiliations:
  • Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011. zhanglf@iastate.edu;Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011. guan@iastate.edu

  • Venue:
  • ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
  • Year:
  • 2008

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Abstract

Capturing characteristics of large data streams has received considerable attention. The constraints in space and time often restrict the data stream processing to only one pass. Furthermore, processing data streams over sliding windows makes the problem more difficult and challenging. In this paper, we address the problem of estimating -approximate frequency in data streams over sliding windows. We are the first who propose an efficient algorithm which can achieve O(1/) space requirement and only need O(1) running time to process each item in the data stream and to answer a query.