The Algorithm for Detection of Fuzzy Behavioral Patterns

In this paper we present a new algorithm for the detection of fuzzy patterns in discrete time series. It generalizes the known approach by M. Magnusson to T-patterns detection. In contrast to the latter, our algorithm is able to find patterns where some elements can be absent in some occurrences of pattern. This makes possible to find soft stereotype in data which seems to be more natural in behavioral analysis. Author Keywords T-Patterns, behavior, fuzzy patterns, elementary behavioral acts.

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