Aggregate computation over data streams

  • Authors:
  • Xuemin Lin;Ying Zhang

  • Affiliations:
  • The University of News South Wales, NSW, Australia;The University of News South Wales, NSW, Australia

  • Venue:
  • APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
  • Year:
  • 2008

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Abstract

Nowadays, we have witnessed the widely recognized phenomenon of high speed data streams. Various statistics computation over data streams is often required by many applications, including processing of relational type queries, data mining and high speed network management. In this paper, we provide survey for three important kinds of aggregate computations over data streams: frequency moment, frequency count and order statistic.