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AMBiDDS: A system for Automatic Mining of BIg Discrete Data-Sets
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2015 (English)In: 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 2015, 424-427 p.Conference paper (Refereed)
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Text
Abstract [en]

This paper introduces an automatic algorithm that can be seen as an extension to the Eclat algorithm, as well as a corresponding proof of concept prototype. It uses inverted indices and statistical pruning of the possible solution space as early as possible.

Place, publisher, year, edition, pages
2015. 424-427 p.
Keyword [en]
Data mining, inverted indices, statistical pruning
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:umu:diva-124694DOI: 10.1109/CSCI.2015.142ISI: 000380405100076ISBN: 978-1-4673-9795-7 (print)OAI: oai:DiVA.org:umu-124694DiVA: diva2:1040721
Conference
International Conference on Computational Science and Computational Intelligence (CSCI), DEC 07-09, 2015, Las Vegas, NV
Available from: 2016-10-28 Created: 2016-08-22 Last updated: 2016-10-28Bibliographically approved

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Ågren, Ola
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Department of Applied Physics and Electronics
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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