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ARAVQ for discretization of radar data: An experimental study on real world sensor data
University of Skövde, School of Informatics.
2015 (English)Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

The aim of this work was to investigate if interesting patterns could be found in time series radar data that had been discretized by the algorithm ARAVQ into symbolic representations and if the ARAVQ thus might be suitable for use in the radar domain.

An experimental study was performed where the ARAVQ was used to create symbolic representations of data sets with radar data. Two experiments were carried out that used a Markov model to calculate probabilities used for discovering potentially interesting patterns. Some of the most interesting patterns were then investigated further.

Results have shown that the ARAVQ was able to create accurate representations for several time series and that it was possible to discover patterns that were interesting and represented higher level concepts. However, the results also showed that the ARAVQ was not able to create accurate representations for some of the time series.

Place, publisher, year, edition, pages
2015. , 48 p.
Keyword [en]
ARAVQ, radar data, multidimensional time series, clustering, Markov chain model
National Category
Computer Science
Identifiers
URN: urn:nbn:se:his:diva-11114OAI: oai:DiVA.org:his-11114DiVA: diva2:821072
Subject / course
Computer Science
Educational program
Computer Science - Specialization in Systems Development
Supervisors
Examiners
Available from: 2015-07-21 Created: 2015-06-14 Last updated: 2015-07-21Bibliographically approved

Open Access in DiVA

fulltext(1753 kB)58 downloads
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CiteExportLink to record
Permanent link

Direct link
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
  • rtf