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Interactive Visual Sequence Mining Based on Pattern-Growth
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.ORCID iD: 0000-0003-4761-8601
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
2014 (English)In: IEEE Conference on Visual Analytics Science and Technology (VAST), Institute of Electrical and Electronics Engineers (IEEE), 2014Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Sequential pattern mining aims to discover valuable patterns from datasets and has a vast number of applications in various fields. Due to the combinatorial nature of the problem, the existing algorithms tend to output long lists of patterns that often suffer from a lack offocus from the user perspective. Our aim is to tackle this problemby combining interactive visualization techniques with sequential pattern mining to create a “transparent box” execution model for existing algorithms. This paper describes our first step in this direction and gives an overview of a system that allows the user to guide the execution of a pattern-growth algorithm at suitable points, through a powerful visual interface.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2014.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-115876DOI: 10.1109/VAST.2014.7042532ISBN: 978-147996227-3 (print)OAI: oai:DiVA.org:liu-115876DiVA: diva2:796987
Conference
IEEE Conference on Visual Analytics Science and Technology (VAST)
Available from: 2015-03-20 Created: 2015-03-20 Last updated: 2016-06-10

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Vrotsou, KaterinaVitoria, Aida

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Citation style
  • apa
  • harvard1
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  • vancouver
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  • Other style
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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