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cs.LG2022★ 1 cited
An efficient aggregation method for the symbolic representation of temporal data
Xinye Chen, Stefan Güttel
Symbolic representations are a useful tool for the dimension reduction of temporal data, allowing for the efficient storage of and information retrieval from time series. They can…
cs.LG2020
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series
Steven Elsworth, Stefan Güttel
A new symbolic representation of time series, called ABBA, is introduced. It is based on an adaptive polygonal chain approximation of the time series into a sequence of tuples, fol…
cs.LG2020
Time Series Forecasting Using LSTM Networks: A Symbolic Approach
Steven Elsworth, Stefan Güttel
Machine learning methods trained on raw numerical time series data exhibit fundamental limitations such as a high sensitivity to the hyper parameters and even to the initialization…