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A Web-Based Platform for Mining and Ranking Association Rules
Umeå University, Faculty of Science and Technology, Department of Computing Science. (DDM)ORCID iD: 0000-0003-0385-9390
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2020 (English)In: ECIR 2020: Advances in Information Retrieval / [ed] Lecture Notes in Computer Science, vol 12036. Springer, Springer, 2020, p. 443-448Conference paper, Published paper (Refereed)
Abstract [en]

In this demo, we introduce an interactive system, which effectively applies multiple criteria analysis to rank association rules. We first use association rules techniques to explore the correlations between variables in given data (i.e., database and linked data (LD)), and secondly apply multiple criteria analysis (MCA) to select the most relevant rules according to user preferences. The developed system is flexible and allows intuitive creation and execution of different algorithms for an extensive range of advanced data analysis topics. Furthermore, we demonstrate a case study of association rule mining and ranking on road accident data.

Place, publisher, year, edition, pages
Springer, 2020. p. 443-448
Series
Lecture Notes in Computer Science (LNCS) ; 12036
National Category
Engineering and Technology
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-174487DOI: 10.1007/978-3-030-45442-5_55Scopus ID: 2-s2.0-85084176609ISBN: 978-3-030-45441-8 (print)ISBN: 978-3-030-45442-5 (electronic)OAI: oai:DiVA.org:umu-174487DiVA, id: diva2:1460916
Conference
42nd European Conference on IR Research, ECIR 2020, Online (Lisbon, Portugal), April 14-17, 2020
Available from: 2020-08-25 Created: 2020-08-25 Last updated: 2023-03-23Bibliographically approved

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Ait-Mlouk, AddiJiang, Lili

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CiteExportLink to record
Permanent link

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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