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Towards an adaptive approach for mining data streams in resource constrained environments
School of Computer Science & Software Engineering, Monash University Melbourne.
School of Computer Science & Software Engineering, Monash University Melbourne.
2004 (English)In: Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004. Proceedings / [ed] Yahiko Kambayashi; Mukesh Mohania; Wolfram Wöß, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2004, p. 189-198Conference paper, Published paper (Refereed)
Abstract [en]

Mining data streams in resource constrained environments has emerged as a challenging research issue for the data mining community in the past two years. Several approaches have been proposed to tackle the challenges of limited capabilities for small devices that generate or receive data streams. These approaches try to approximate the mining results with acceptable accuracy and efficiency in space and time complexity. However these approaches are not resource-aware. In this paper, a thorough discussion about the state of the art of mining data streams is presented followed by a formalization of our Algorithm Output Granularity (AOG) approach in mining data streams. The incorporation of AOG within a generic ubiquitous data mining system architecture is shown and discussed. The industrial applications of AOG-based mining techniques are given and discussed.

Place, publisher, year, edition, pages
Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2004. p. 189-198
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 3181
Identifiers
URN: urn:nbn:se:ltu:diva-31046DOI: 10.1007/978-3-540-30076-2_19Local ID: 51761440-da3f-11dc-b464-000ea68e967bISBN: 978-3-540-22937-7 (print)OAI: oai:DiVA.org:ltu-31046DiVA, id: diva2:1004275
Conference
International Conference on Data Warehousing and Knowledge Discovery : 01/09/2004 - 03/09/2004
Note
Upprättat; 2004; 20080213 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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