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Motif detection inspired by immune memory

Wilson, William; Birkin, Phil; Aickelin, Uwe

Authors

William Wilson wow@cs.nott.ac.uk

Phil Birkin pab@cs.nott.ac.uk

Uwe Aickelin uwe.aickelin@nottingham.ac.uk



Abstract

The search for patterns or motifs in data represents an area
of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pattern identification tool that is able to identify variable length unknown motifs which repeat
within time series data. The algorithm searches from a neutral perspective that is independent of the data being analysed and the underlying motifs. In this paper we test the flexibility of the motif tracking algorithm by applying it to the search for patterns in two industrial data sets. The algorithm is able to identify a population of meaningful motifs in both cases, and the value of these motifs is discussed.

Journal Article Type Article
Publication Date Feb 1, 2011
Journal Journal of the Operational Research Society
Print ISSN 0160-5682
Electronic ISSN 0160-5682
Publisher Taylor & Francis
Peer Reviewed Peer Reviewed
Volume 62
APA6 Citation Wilson, W., Birkin, P., & Aickelin, U. (2011). Motif detection inspired by immune memory. Journal of the Operational Research Society, 62, doi:10.1057/jors.2010.81
DOI https://doi.org/10.1057/jors.2010.81
Publisher URL http://www.palgrave-journals.com/jors/index.html
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information This is a post-peer-review, pre-copyedit version of an article published in Journal of the Operational Research Society. The definitive publisher-authenticated version: Wilson, W., Birkin, P. and Aickelin, U., Motif detection inspired by immune memory, Journal of the Operational Research Society , (21 July 2010), doi:10.1057/jors.2010.81, is available online at: http://www.palgrave-journals.com/jors/index.html

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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