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Energy Efficiency in Data Stream Mining
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.ORCID iD: 0000-0001-9947-1088
2015 (English)In: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015, p. 1125-1132Conference paper, Published paper (Refereed)
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Text
Abstract [en]

Data mining algorithms are usually designed to optimize a trade-off between predictive accuracy and computational efficiency. This paper introduces energy consumption and energy efficiency as important factors to consider during data mining algorithm analysis and evaluation. We extended the CRISP (Cross Industry Standard Process for Data Mining) framework to include energy consumption analysis. Based on this framework, we conducted an experiment to illustrate how energy consumption and accuracy are affected when varying the parameters of the Very Fast Decision Tree (VFDT) algorithm. The results indicate that energy consumption can be reduced by up to 92.5% (557 J) while maintaining accuracy.

Place, publisher, year, edition, pages
2015. p. 1125-1132
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-11412DOI: 10.1145/2808797.2808863ISI: 000371793500173ISBN: 978-1-4503-3854-7 (print)OAI: oai:DiVA.org:bth-11412DiVA, id: diva2:894248
Conference
Int’l Symp. on Foundations and Applications of Big Data Analytics (FAB 2015), Paris
Projects
BigData@BTH - Scalable resource-efficient systems for big data analytics
Funder
Knowledge FoundationAvailable from: 2016-01-14 Created: 2016-01-14 Last updated: 2018-02-02Bibliographically approved

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Publisher's full texthttp://doi.acm.org/10.1145/2808797.2808863

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García Martín, EvaLavesson, NiklasGrahn, Håkan

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Citation style
  • apa
  • harvard1
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Language
  • de-DE
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  • en-US
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  • nn-NO
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  • Other locale
More languages
Output format
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