<p>The basic principle of data reduction to accelerate time series plotting: (a) A computer display uses discrete pixels to display a graph. (b) Plotting large amounts of data results in overdraw; several data points get plotted onto the same pixel column. A zoomed version of the marked area (red lines) in (b) is shown in (c) as an example for the amount of detail that can collapse onto a single pixel column. (d) Replacing the original time series dataset with a reduced dataset consisting of minimum and maximum values for each pixel column gives the same visual result. The reduced dataset in this example consists of only 48 data points compared to the original time series with 38,866 samples in (b) and can therefore be plotted considerably ...
Time series represent sequences of data points where usually their order is defined by the time when...
With the increase in availability of space born data, analysing large amounts of high resolution dat...
Analyzing high dimensional time series data can be chal-lenging, especially when the data consists o...
As human beings, we often wish to visualize certain information in order to make better sense of it....
<p>(a) FTSPlot time series plotting performance (THINNING FACTOR 64) is compared with canonical plot...
Exploring the largest triangle three bucket algorithm to downsample time series data
Graphs are important for highlighting relationships within a data series or across several series. M...
Compared to the right plot, the left plot is of rather poor design and quality. The text in the plot...
Interactive visualization is an essential tool for data analysis. Cloud-based data analysis software...
The increasing interest in time series data mining in the last decade has resulted in the introducti...
In this thesis, we focus on time-series data, which is commonly used by domain experts in different ...
Abstract and posterInternational audienceMany approaches have been proposed for the visualization of...
Time series data is an important data type in many different application scenarios. Consequently, th...
Data sources such as simulations, sensor networks across many application domains generate large vol...
We present "PATRED", a technique that uses the addition of redundant information to facilitate the d...
Time series represent sequences of data points where usually their order is defined by the time when...
With the increase in availability of space born data, analysing large amounts of high resolution dat...
Analyzing high dimensional time series data can be chal-lenging, especially when the data consists o...
As human beings, we often wish to visualize certain information in order to make better sense of it....
<p>(a) FTSPlot time series plotting performance (THINNING FACTOR 64) is compared with canonical plot...
Exploring the largest triangle three bucket algorithm to downsample time series data
Graphs are important for highlighting relationships within a data series or across several series. M...
Compared to the right plot, the left plot is of rather poor design and quality. The text in the plot...
Interactive visualization is an essential tool for data analysis. Cloud-based data analysis software...
The increasing interest in time series data mining in the last decade has resulted in the introducti...
In this thesis, we focus on time-series data, which is commonly used by domain experts in different ...
Abstract and posterInternational audienceMany approaches have been proposed for the visualization of...
Time series data is an important data type in many different application scenarios. Consequently, th...
Data sources such as simulations, sensor networks across many application domains generate large vol...
We present "PATRED", a technique that uses the addition of redundant information to facilitate the d...
Time series represent sequences of data points where usually their order is defined by the time when...
With the increase in availability of space born data, analysing large amounts of high resolution dat...
Analyzing high dimensional time series data can be chal-lenging, especially when the data consists o...