Motif detection inspired by immune memory

Tools

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

Full text not available from this repository.

Official URL: http://www.springerlink.com/content/g7qmv2431074/#section=373520&page=1

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 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.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/1018080
Additional Information:	The original publication is available at www.springerlink.com Papers originally presented at: 6th International Conference on Artificial Immune Systems (ICARIS 2007), 26-29 Aug 2007, Santos, Brazil
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:	https://doi.org/10.1007/978-3-540-73922-7_24
Depositing User:	Aickelin, Professor Uwe
Date Deposited:	12 Oct 2007 15:07
Last Modified:	04 May 2020 20:29
URI:	https://eprints.nottingham.ac.uk/id/eprint/576

Actions (Archive Staff Only)

Edit View

LoginAdmin