Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
  • rtf
Improved association rule mining to sensor time series
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2016. , p. 52
Keywords [en]
sensor time series, representation, discretization, temporal association rule mining
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-28917Local ID: DT-V16-A2-008OAI: oai:DiVA.org:miun-28917DiVA, id: diva2:974561
Subject / course
Computer Engineering DT1
Supervisors
Examiners
Available from: 2016-09-27 Created: 2016-09-27 Last updated: 2018-01-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
Department of Information and Communication systems
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 255 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
  • rtf