Name
Title | ||
|---|---|---|
Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data |
Abstract | ||
|---|---|---|
Tracking and comparing psychotherapeutic data derived from questionnaires involves a number of highly structured, time-oriented parameters. Descriptive and other statistical methods are only suited for partial analysis. Therefore, we created a novel spring-based interactive Information Visualization method for analysing these data more in-depth. With our method the user is able to find new predictors for a positive or negative course of the therapy due to the combination of various visualization and interaction methods. |
Year | Venue | Keywords |
|---|---|---|
2005 | JOURNAL OF UNIVERSAL COMPUTER SCIENCE | interactive information visualization,temporal data,medical domain |
Field | DocType | Volume |
Data science,Data mining,Information visualization,Visualization,Computer science,Visual analytics,Temporal database | Journal | 11 |
Issue | ISSN | Citations |
11 | 0948-695X | 18 |
PageRank | References | Authors |
0.89 | 9 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Klaus Hinum | 1 | 36 | 2.43 |
| Silvia Miksch | 2 | 2212 | 174.85 |
| wolfgang aigner | 3 | 842 | 51.72 |
| Susanne Ohmann | 4 | 43 | 3.16 |
| Christian Popow | 5 | 150 | 16.01 |
| Margit Pohl | 6 | 204 | 24.42 |
| Markus Rester | 7 | 106 | 7.24 |