SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model
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منابع مشابه
An improvement of symbolic aggregate approximation distance measure for time series
Symbolic Aggregate approXimation (SAX) as a major symbolic representation has been widely used in many time series data mining applications. However, because a symbol is mapped from the average value of a segment, the SAX ignores 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 repr...
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