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Motif detection inspired by immune memory

Wilson, William; Birkin, Phil; Aickelin, Uwe

Authors

William Wilson

Phil Birkin

Uwe Aickelin



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 completely 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 motifs successfully in both cases, and the value of these motifs is discussed.

Journal Article Type Article
Journal Lecture Notes in Computer Science
Electronic ISSN 0302-9743
Publisher Humana Press
Peer Reviewed Peer Reviewed
Volume 4628
APA6 Citation Wilson, W., Birkin, P., & Aickelin, U. Motif detection inspired by immune memory. Lecture Notes in Artificial Intelligence, 4628, doi:10.1007/978-3-540-73922-7_24
DOI https://doi.org/10.1007/978-3-540-73922-7_24
Publisher URL http://www.springerlink.com/content/g7qmv2431074/#section=373520&page=1
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information The original publication is available at www.springerlink.com

Papers originally presented at: 6th International Conference on Artificial Immune Systems (ICARIS 2007), 26-29 Aug 2007, Santos, Brazil

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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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