In this paper, we propose an efficient approach, Non-Linear Correlation search (NLC), to search the correlated window pairs on two long time series. Firstly ...
In this paper, we propose an efficient approach, Non-Linear Correlation search (NLC), to search the correlated window pairs on two long time series. Firstly, we ...
This paper proposes an efficient approach, Non-Linear Correlation search (NLC), to search the correlated window pairs on two long time series, and proposes ...
Oct 22, 2024 · In this paper, we propose an efficient approach, Non-Linear Correlation search (NLC), to search the correlated window pairs on two long time ...
In this paper, we propose an efficient approach, Non-Linear Correlation search (NLC), to search the correlated window pairs on two long time series. Firstly ...
Mar 9, 2017 · I wish to calculate the correlation coefficients of 12 variables using a running window in R. My data is stored in a zoo object with a %m.%d.%Y %H:%M:%S index.
Missing: NLC: | Show results with:NLC:
In this paper, we propose an efficient approach, Non-Linear Correlation search (NLC), to search the correlated window pairs on two long time series. Firstly ...
Sep 28, 2015 · In this way I would try to find if there is a correlation or a causality between the two time series without considering the whole data samples.
Missing: NLC: | Show results with:NLC:
Sep 28, 2024 · This article identifies caveats of using the correlation coefficient between two fractionally integrated time series as a measure of association ...
NLC: Search Correlated Window Pairs on Long Time Series. Proc. VLDB Endow. 15 (2022), 1363–1375. Paparrizos et al. (2022) John Paparrizos, Yuhao Kang, Paul ...