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A Novel Trend Symbolic Aggregate Approximation for Time Series
[article]
2019
arXiv
pre-print
Symbolic Aggregate approximation (SAX) is a classical symbolic approach in many time series data mining applications. However, SAX only reflects the segment mean value feature and misses important information in a segment, namely the trend of the value change in the segment. Such a miss may cause a wrong classification in some cases, since the SAX representation cannot distinguish different time series with similar average values but different trends. In this paper, we present Trend Feature
arXiv:1905.00421v1
fatcat:wnhu335kmbditekqdlqcsvcxgy