Motif detection inspired by immune memory

Wilson, William, Birkin, Phil and Aickelin, Uwe (2011) Motif detection inspired by immune memory. Journal of the Operational Research Society, 62 . pp. 253-265. ISSN 0160-5682

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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.

Item Type: Article
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:
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:
Depositing User: Aickelin, Professor Uwe
Date Deposited: 19 Oct 2010 16:16
Last Modified: 04 May 2020 20:23

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