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Using Uncertain Chemical and Thermal Data to Predict Product Quality in a Casting Process
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
University of Skövde, The Informatics Research Centre. University of Skövde, School of Humanities and Informatics.
2009 (English)In: Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data / [ed] Jian Pei; Lise Getoor; Ander De Keijzer, AMC, Inc. , 2009, 57-61 p.Conference paper, (Refereed)
Abstract [en]

Process and casting data from different sources have been collected and merged for the purpose of predicting, and determining what factors affect, the quality of cast products in a foundry. One problem is that the measurements cannot be directly aligned, since they are collected at different points in time, and instead they have to be approximated for specific time points, hence introducing uncertainty. An approach for addressing this problem is investigated, where uncertain numeric features values are represented by intervals and random forests are extended to handle such intervals. A preliminary experiment shows that the suggested way of forming the intervals, together with the extension of random forests, results in higher predictive performance compared to using single (expected) values for the uncertain features together with standard random forests.

Place, publisher, year, edition, pages
AMC, Inc. , 2009. 57-61 p.
National Category
Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3418DOI: 10.1145/1610555.1610563Scopus ID: 2-s2.0-70450267831ISBN: 978-1-60558-675-5 OAI: oai:DiVA.org:his-3418DiVA: diva2:272096
Conference
Proceedings of the First ACM SIGKDD International Workshop on Knowledge Discovery from Uncertain Data : Paris, France, June 28, 2009 ; in conjunction with KDD'09
Available from: 2009-10-14 Created: 2009-10-14 Last updated: 2013-03-18

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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