Motif detection inspired by immune memory
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....
| Main Authors: | , , |
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| Format: | Article |
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Palgrave Macmillan
2011
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| Online Access: | https://eprints.nottingham.ac.uk/1357/ |
| _version_ | 1848790592083984384 |
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| author | Wilson, William Birkin, Phil Aickelin, Uwe |
| author_facet | Wilson, William Birkin, Phil Aickelin, Uwe |
| author_sort | Wilson, William |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:15:03Z |
| format | Article |
| id | nottingham-1357 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:15:03Z |
| publishDate | 2011 |
| publisher | Palgrave Macmillan |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-13572020-05-04T20:23:34Z https://eprints.nottingham.ac.uk/1357/ Motif detection inspired by immune memory Wilson, William Birkin, Phil Aickelin, Uwe 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. Palgrave Macmillan 2011-02 Article PeerReviewed 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 http://www.palgrave-journals.com/jors/index.html doi:10.1057/jors.2010.81 doi:10.1057/jors.2010.81 |
| spellingShingle | Wilson, William Birkin, Phil Aickelin, Uwe Motif detection inspired by immune memory |
| title | Motif detection inspired by immune memory |
| title_full | Motif detection inspired by immune memory |
| title_fullStr | Motif detection inspired by immune memory |
| title_full_unstemmed | Motif detection inspired by immune memory |
| title_short | Motif detection inspired by immune memory |
| title_sort | motif detection inspired by immune memory |
| url | https://eprints.nottingham.ac.uk/1357/ https://eprints.nottingham.ac.uk/1357/ https://eprints.nottingham.ac.uk/1357/ |