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A reusable framework to accelerate the development of visual analytics applications based on dimensionality reduction
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

To be able to visualize and analyze multidimensional data sets, the dimensions have to be reduced to two or three, by using dimensionality reducing (DR) methods. The problem is that there is no established foundation for building applications to handle data sets, DR and visualization and therefore the process of doing so is not as efficient as it could be. This thesis suggests a framework as a solution to the problem, and covers the implementation of such a framework. The framework is used to create a prototype application to ensure that it is useful in such a scenario. For further evaluation, a domain expert tested the framework by following the associated instructions, and answered a questionnaire. The answers were positive and contained comments that were used to improve the instructions, and suggestions on how to improve the framework in the future.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Multidimensional, dimension, DR methods, framework
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:lnu:diva-88625OAI: oai:DiVA.org:lnu-88625DiVA, id: diva2:1346016
Educational program
Software Technology Programme, 180 credits
Supervisors
Examiners
Available from: 2019-08-29 Created: 2019-08-26 Last updated: 2019-08-29Bibliographically approved

Open Access in DiVA

fulltext(1063 kB)8 downloads
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Type fulltextMimetype application/pdf

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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