Scalable Dictionary Classifiers for Time Series Classification

26 Jul 2019Matthew MiddlehurstWilliam VickersAnthony Bagnall

Dictionary based classifiers are a family of algorithms for time series classification (TSC), that focus on capturing the frequency of pattern occurrences in a time series. The ensemble based Bag of Symbolic Fourier Approximation Symbols (BOSS) was found to be a top performing TSC algorithm in a recent evaluation, as well as the best performing dictionary based classifier... (read more)

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