17 citations · 39 across the 10 of their papers we have counts for
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cs.LG2020★ 6 cited
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification
Muhammad Marwan Muhammad Fuad
Time series classification is an important problem in data mining with several applications in different domains. Because time series data are usually high dimensional, dimensional…
cs.LG2020★ 6 cited
Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information
Muhammad Marwan Muhammad Fuad
The Symbolic Aggregate approXimation (SAX) is a very popular symbolic dimensionality reduction technique of time series data, as it has several advantages over other dimensionality…