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Visualizing large-scale and high-dimensional time series data
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Time series is one of the main research objects in the field of data mining.

Visualization is an important mechanism to present processed time series for further

analysis by users. In recent years researchers have designed a number of

sophisticated visualization techniques for time series. However, most of these

techniques focus on the static format, trying to encode the maximal amount of

information through one image or plot. We propose the pixel video technique, a

visualization technique displaying data in video format. Using pixel video technique,

a hierarchal dimension cluster tree for generating the similarity order of

dimensions is first constructed, each frame image is generated according to pixeloriented

techniques displaying the data in the form of a video.

Place, publisher, year, edition, pages
2017. , p. 49
Keywords [en]
visualization, time series, high-dimensional data
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:miun:diva-31388Local ID: DT-V17-A2-005OAI: oai:DiVA.org:miun-31388DiVA, id: diva2:1131384
Subject / course
Computer Engineering DT1
Supervisors
Examiners
Available from: 2017-08-14 Created: 2017-08-14 Last updated: 2017-08-14Bibliographically approved

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Yeqiang, Lin
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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