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. T...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Springer Verlag
2007
|
| Online Access: | https://eprints.nottingham.ac.uk/576/ |
| _version_ | 1848790434953822208 |
|---|---|
| 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 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. |
| first_indexed | 2025-11-14T18:12:34Z |
| format | Article |
| id | nottingham-576 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:12:34Z |
| publishDate | 2007 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-5762020-05-04T20:29:18Z https://eprints.nottingham.ac.uk/576/ 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 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. Springer Verlag 2007 Article PeerReviewed Wilson, William, Birkin, Phil and Aickelin, Uwe (2007) Motif detection inspired by immune memory. Lecture Notes in Computer Science, 4628 . pp. 276-287. ISSN 0302-9743 http://www.springerlink.com/content/g7qmv2431074/#section=373520&page=1 doi:10.1007/978-3-540-73922-7_24 doi:10.1007/978-3-540-73922-7_24 |
| 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/576/ https://eprints.nottingham.ac.uk/576/ https://eprints.nottingham.ac.uk/576/ |