In this paper, we propose a novel approach which we call piecewise cloud approximation (PWCA) to reduce the dimensionality of time series.

Cloud, a qualitative and quantitative transformation model, is used to describe the features of subsequences of time series. Furthermore, a new way to measure�...

In this paper, we propose a novel approach which we call piecewise cloud approximation (PWCA) to reduce the dimensionality of time series. This representation�...

4 days ago � In [11], the piecewise cloud approximation was first proposed for data mining of time series, and the method proposed in [11] is capable of�...

Piecewise cloud approximation for time series mining � Hailin LiChonghui Guo � Knowledge-Based Systems ; An approach to dimensionality reduction in time series.

Jun 28, 2019 � Piecewise Aggregate Approximation (PAA) is a competitive basic dimension reduction method for high-dimensional time series min- ing. When�...

Piecewise cloud approximation for time series mining. Many researchers focus on dimensionality reduction techniques for the efficient data mining in large�...

In recent years many attempts have been made to index, cluster, classify and mine prediction rules from increasing massive sources of spatial time-series�...

This paper proposes a technique of piecewise aggregate approximation based on cloud model to resolve the high dimensionality of time series.

[5] Hailin Li, Chonghui Guo, “Piecewise cloud approximation for time series mining”, Knowledge-. Based Systems: Elsevier Publication, Dec 2010. [6] Lei Sun�...