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Algorithmic Techniques for Processing Data Streams

Authors Elena Ikonomovska, Mariano Zelke



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Elena Ikonomovska
Mariano Zelke

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Elena Ikonomovska and Mariano Zelke. Algorithmic Techniques for Processing Data Streams. In Data Exchange, Integration, and Streams. Dagstuhl Follow-Ups, Volume 5, pp. 237-274, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2013)
https://doi.org/10.4230/DFU.Vol5.10452.237

Abstract

We give a survey at some algorithmic techniques for processing data streams. After covering the basic methods of sampling and sketching, we present more evolved procedures that resort on those basic ones. In particular, we examine algorithmic schemes for similarity mining, the concept of group testing, and techniques for clustering and summarizing data streams.
Keywords
  • streaming algorithm
  • sampling
  • sketching
  • group testing
  • histogram

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