Similarity measurement of time-series data with different granularities
Ying Wang · Journal of Computer Applications · 2011
Most of the existing similarity measurement,based on Euclidean distance,cannot be applied directly and effectively to similarity matching of the time-series with different granularities.This paper proposed a new similarity measure based on the sample of the corresponding D-value.It firstly expounded the definition of the time-series with different granularities,and defined the sample of the corresponding D-value;secondly it put forward the similarity matching algorithm;finally,the experimental results prove that the algorithm can effectively measure the similarity of time-series with multiple granularities.