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A hybrid model for optimising distributed data mining
School of Computer Science & Software Engineering, Monash University Melbourne.
School of Computer Science & Software Engineering, Monash University Melbourne.
2004 (English)In: Distributed Computing - IWDC 2003: 5th International Workshop Kolkata, India, December 27-30, 2003. Proceedings / [ed] Samir R. Das; Sajal K. Das, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2004, p. 300-310Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a hybrid model for improving the response time of distributed data mining (DDM). The hybrid DDM model uses cost formulae and prediction techniques to compute an estimate of the response time for a DDM process and applies a combination of client-server and mobile agent strategies based on the estimates to reduce the overall response time. Experimental results that establish the validity and demonstrate the improved response time of the hybrid model are presented.

Place, publisher, year, edition, pages
Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2004. p. 300-310
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 2918
Identifiers
URN: urn:nbn:se:ltu:diva-37787DOI: 10.1007/b94926Local ID: be9a44e0-cf65-11dc-9ad7-000ea68e967bISBN: 978-3-540-20745-0 (print)OAI: oai:DiVA.org:ltu-37787DiVA, id: diva2:1011285
Conference
International Workshop in Distributed Computing : 27/12/2003 - 30/12/2003
Note
Upprättat; 2004; 20080130 (ysko)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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