Computer Science – Artificial Intelligence
Scientific paper
2010-04-22
Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS2007), Lecture Notes in Computer Science 4
Computer Science
Artificial Intelligence
12 pages, 4 figures, (ICARIS2007),
Scientific paper
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.
Aickelin Uwe
Birkin Phil
Wilson William W.
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