Implementation of Similarity Measures for Event Sequences in myCBR

Lupiani, Eduardo, Sauer, Christian and Roth-Berghofer, Thomas (2013) Implementation of Similarity Measures for Event Sequences in myCBR. In: Proceedings of the 18th UKCBR 2013 Workshop, 10 Dec 2012, Cambridge, UK.

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Abstract

The computation of the similarities between event sequences
is important for many �fields because many activities follow a sequential
order. For instance, an industrial plan that triggers diff�erent types of
alarms due to detected event sequences or the treatment sequence that a
patient receives while he/she is hospitalized. With the appropriate tools
and techniques to compute the similarity between two event sequences we
may be able to detect patterns or regularities in event data and so be able
to perform predictions or recommendations based on detected similar
sequences. The present work is intended to describe the implementation
of two event sequence similarity measures in myCBR, with the purpose
of creating a similarity measurement approach for complex domains that
employ the use of event sequences. Besides, an initial experimentation is
performed in order to study if the proposed measures and measurement
approach are able to predict future situations based on similar event
sequences.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computing
Depositing User: Christian Sauer
Date Deposited: 26 May 2016 13:15
Last Modified: 04 Aug 2016 10:03
URI: http://repository.uwl.ac.uk/id/eprint/2180

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