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Concise case indexing of time series in health care by means of key sequence discovery
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-9857-4317
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-5562-1424
2008 (English)In: Applied intelligence (Boston), ISSN 0924-669X, E-ISSN 1573-7497, Vol. 28, no 3, p. 247-260Article in journal (Refereed) Published
Abstract [en]

Coping with time series cases is becoming an important issue in applications of case based reasoning in medical cares. This paper develops a knowledge discovery approach to discovering significant sequences for depicting symbolic time series cases. The input is a case library containing time series cases consisting of consecutive discrete patterns. The proposed approach is able to find from the given case library all qualified sequences that are non-redundant and indicative. A sequence as such is termed as a key sequence. It is shown that the key sequences discovered are highly valuable in case characterization to capture important properties while ignoring random trivialities. The main idea is to transform an original (lengthy) time series into a more concise representation in terms of the detected occurrences of key sequences. Four alternative ways to develop case indexes based on key sequences are suggested and discussed in detail. These indexes are simply vectors of numbers that are easily usable when matching two time series cases for case retrieval. Preliminary experiment results have revealed that such case indexes utilizing key sequence information result in substantial performance improvement for the underlying case-based reasoning system.

Place, publisher, year, edition, pages
2008. Vol. 28, no 3, p. 247-260
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-7079DOI: 10.1007/s10489-007-0059-xISI: 000254258400005Scopus ID: 2-s2.0-43449120135OAI: oai:DiVA.org:mdh-7079DiVA, id: diva2:237089
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2017-12-13Bibliographically approved

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Xiong, NingFunk, Peter

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CiteExportLink to record
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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