Motif detection inspired by immune memory

Wilson, William; Birkin, Phil; Aickelin, Uwe

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.

Citation

Wilson, W., Birkin, P., & Aickelin, U. (2011). Motif detection inspired by immune memory. Journal of the Operational Research Society, 62, https://doi.org/10.1057/jors.2010.81

• Journal Article Type: Article
• Publication Date: Feb 1, 2011
• Deposit Date: Oct 19, 2010
• Publicly Available Date: Feb 1, 2011
• Journal: Journal of the Operational Research Society
• Print ISSN: 0160-5682
• Electronic ISSN: 1476-9360
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• Volume: 62
• DOI: https://doi.org/10.1057/jors.2010.81
• Public URL: https://nottingham-repository.worktribe.com/output/1010281
• Publisher URL: http://www.palgrave-journals.com/jors/index.html
• 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