Name
Abstract | ||
|---|---|---|
An important task in exploration of data about phenomena and processes that develop over time is detection of significant changes that happened to the studied phenomenon. Our research is focused on supporting detection of significant changes, called events, in multiple time series of numeric values. We developed a suite of visual analytics techniques that combines interactive visualizations on time-aware displays and maps with statistical event detection methods implemented in R. We demonstrate the utility of our approach using two large data sets. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IV.2010.17 | IV |
Keywords | Field | DocType |
data visualisation,interactive systems,time series,interactive visualizations,spatial time series,statistical event detection methods,visual analytics techniques,event detection,time series,visual analytics | Data mining,Time series,Data visualization,Data set,Suite,Computer science,Filter (signal processing),Visual analytics | Conference |
ISSN | Citations | PageRank |
1550-6037 | 5 | 0.56 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gennady Andrienko | 1 | 3106 | 208.19 |
| Natalia Andrienko | 2 | 2922 | 192.14 |
| Martin Mladenov | 3 | 5 | 0.56 |
| Michael Mock | 4 | 175 | 25.30 |
| Christian Poelitz | 5 | 5 | 0.56 |