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EUSFLAT
2009

Online Recognition of Fuzzy Time Series Patterns

8 years 11 months ago
Online Recognition of Fuzzy Time Series Patterns
This article deals with the recognition of recurring multivariate time series patterns modelled sample-point-wise by parametric fuzzy sets. An efficient classification-based approach for the online recognition of incompleted developing patterns in streaming time series is being presented. Furthermore, means are introduced to enable users of the recognition system to restrict results to certain stages of a pattern's development, e. g. for forecasting purposes, all in a consistently fuzzy manner. Keywords-- Fuzzy classification, fuzzy automata, multivariate time series, pattern recognition.
Gernot Herbst, Steffen F. Bocklisch
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where EUSFLAT
Authors Gernot Herbst, Steffen F. Bocklisch
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