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Motif detection inspired by immune memory

Wilson, William; Birkin, Phil; Aickelin, Uwe


William Wilson

Phil Birkin

Uwe Aickelin


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.


Wilson, W., Birkin, P., & Aickelin, U. Motif detection inspired by immune memory. Lecture Notes in Artificial Intelligence, 4628,

Journal Article Type Article
Conference Name 6th International Conference on Artificial Immune Systems (ICARIS 2007)
End Date Aug 29, 2007
Deposit Date Oct 12, 2007
Journal Lecture Notes in Computer Science
Electronic ISSN 0302-9743
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 4628
Public URL
Publisher URL
Additional Information The original publication is available at

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


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