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Techniques for estimating the computation and communication costs of distributed data mining
Monash University, Melbourne, VIC.
RMIT university.
2002 (English)In: Computational science - ICCS 2002: international conference, Amsterdam, The Netherlands, April 21 - 24, 2002 ; proceedings / [ed] Peter M.A. Sloot, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2002, p. 603-612Conference paper, Published paper (Refereed)
Abstract [en]

Distributed Data Mining (DDM) is the process of mining distributed and heterogeneous datasets. DDM is widely seen as a means of addressing the scalability issue of mining large data sets. Consequently, there is an emerging focus on optimisation of the DDM process. In this paper we present cost formulae for estimating the communication and computation time for different distributed data mining scenarios.

Place, publisher, year, edition, pages
Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2002. p. 603-612
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 2329
Identifiers
URN: urn:nbn:se:ltu:diva-30485DOI: 10.1007/3-540-46043-8_61Local ID: 4515eba0-dbaa-11dc-b464-000ea68e967bISBN: 978-3-540-43591-4 (print)OAI: oai:DiVA.org:ltu-30485DiVA, id: diva2:1003712
Conference
International Conference on Computational Science : 21/04/2002 - 24/04/2002
Note
Upprättat; 2002; 20080215 (cira)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-06-11Bibliographically approved

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Zaslavsky, Arkady

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CiteExportLink to record
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  • apa
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  • Other locale
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