2026-07-25T12:39:10Z https://drops.dagstuhl.de/oai

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Algorithmic Techniques for Processing Data Streams Ikonomovska, Elena Zelke, Mariano streaming algorithm sampling sketching group testing histogram 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Elena Ikonomovska and Mariano Zelke 2013 Is Part Of Dagstuhl Follow-Ups, Volume 5, Data Exchange, Integration, and Streams (2013) InCollection Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DFU.Vol5.10452.237 urn:nbn:de:0030-drops-42968 https://drops.dagstuhl.de/entities/document/10.4230/DFU.Vol5.10452.237 eng https://creativecommons.org/licenses/by/3.0/legalcode