RPAA：一种基于时间特性的时间序列建模表示

滑动聚集平均近似PAA（Piecewise Aggregate Approximation）是一种表示时间序列的方法，它通过时间序列上滑动一个等宽的滑动窗口将时间序列分成小的区段。考虑到时间序列的时间特性q-不同区段的影响，本文提出了一种改进表示RPAA（Reversed Piecewise Aggregate Approximation）。RPAA表示对处于不同时间段的序列赋以不同的影响因子，具有线性时间复杂度，并且证明了RPAA满足下界定理，因而能够进行实际的查询。最后的实验表明该表示是有效的。

RPAA: A Time Property-based Representation for Time Series

PAA(Piecewise Aggregate Approximation)is a method for representing time series by sliding an equal-width window on the data and dividing the data into segments.An improved representation method RPAA(Reversed Piecewise Aggregate Approximation)is presented by preserving the time property that different segments may play different role on the data in time series.RPAA assigns different influence factors to different segments and is of linear time complexity.It is proved that RPAA satisfies the lower-bounding lemma,so search on RPAA is practical.The experiments show the effectiveness of the method.