Periodically occurring accumulations of events or measured values are present in many time-dependent datasets and can be of interest for analyses. The frequency of such periodic behavior is often not known in advance, making it difficult to detect and tedious to explore. Automated analysis methods exist, but can be too costly for smooth, interactive analysis. We propose a compact visual representation that reveals periodicity by showing a phase histogram for a given period length that can be used standalone or in combination with other linked visualizations. Our approach supports guided, interactive analyses by suggesting other period lengths to explore, which are ranked based on two quality measures. We further describe how the phase can b...
The important class of regularities that exist in a time series is nothing but the Partial periodic ...
<div><p>We investigated commonly used methods (Autocorrelation, Enright, and Discrete Fourier Transf...
We have described a simple approach for the analysis and isolation of multiple periodicities from a ...
Periodically occurring accumulations of events or measured values are present in many time-dependent...
Periodic phenomena are oscillating signals found in many naturally-occurring time series. A periodo...
This paper presents a new period-finding method based on conditional entropy that is both efficient ...
Periodic phenomena are oscillating signals found in many naturally occurring time series. A periodog...
The analyses of time series can be enhanced by modeling it in the phase space, where its dynamics ar...
Abstract—We propose a new information theoretic metric for finding periodicities in stellar light cu...
International audienceVisual representations of time-series are useful for tasks such as identifying...
We describe the $\texttt{Period detection and Identification Pipeline Suite}$ ($\texttt{PIPS}$) -- a...
Motivation: Identifying periodically expressed genes across different processes such as the cell cy-...
Time series analysis is a fundamental task in various application domains, and deep learning approac...
. Consistent statistics for two methods of searching for periodicity in a series of weighted time po...
xix, 121 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2007 ZhangTime series m...
The important class of regularities that exist in a time series is nothing but the Partial periodic ...
<div><p>We investigated commonly used methods (Autocorrelation, Enright, and Discrete Fourier Transf...
We have described a simple approach for the analysis and isolation of multiple periodicities from a ...
Periodically occurring accumulations of events or measured values are present in many time-dependent...
Periodic phenomena are oscillating signals found in many naturally-occurring time series. A periodo...
This paper presents a new period-finding method based on conditional entropy that is both efficient ...
Periodic phenomena are oscillating signals found in many naturally occurring time series. A periodog...
The analyses of time series can be enhanced by modeling it in the phase space, where its dynamics ar...
Abstract—We propose a new information theoretic metric for finding periodicities in stellar light cu...
International audienceVisual representations of time-series are useful for tasks such as identifying...
We describe the $\texttt{Period detection and Identification Pipeline Suite}$ ($\texttt{PIPS}$) -- a...
Motivation: Identifying periodically expressed genes across different processes such as the cell cy-...
Time series analysis is a fundamental task in various application domains, and deep learning approac...
. Consistent statistics for two methods of searching for periodicity in a series of weighted time po...
xix, 121 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2007 ZhangTime series m...
The important class of regularities that exist in a time series is nothing but the Partial periodic ...
<div><p>We investigated commonly used methods (Autocorrelation, Enright, and Discrete Fourier Transf...
We have described a simple approach for the analysis and isolation of multiple periodicities from a ...