Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data
| dc.creator | Hinum,Klaus | |
| dc.creator | Miksch,Silvia | |
| dc.creator | Aigner,Wolfgang | |
| dc.creator | Ohmann,Susanne | |
| dc.creator | Popow,Christian | |
| dc.creator | Pohl,Margit | |
| dc.creator | Rester,Markus | |
| dc.date | 2005 | |
| dc.date.accessioned | 2024-02-06T12:54:01Z | |
| dc.date.available | 2024-02-06T12:54:01Z | |
| dc.description | 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. | |
| dc.format | text/html | |
| dc.identifier | https://doi.org/10.3217/jucs-011-11-1792 | |
| dc.identifier | https://lib.jucs.org/article/28503/ | |
| dc.identifier.uri | https://openrepository.mephi.ru/handle/123456789/8877 | |
| dc.language | en | |
| dc.publisher | Journal of Universal Computer Science | |
| dc.relation | info:eu-repo/semantics/altIdentifier/eissn/0948-6968 | |
| dc.relation | info:eu-repo/semantics/altIdentifier/pissn/0948-695X | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | J.UCS License | |
| dc.source | JUCS - Journal of Universal Computer Science 11(11): 1792-1805 | |
| dc.subject | interactive information visualization | |
| dc.subject | temporal data | |
| dc.subject | medical domain | |
| dc.title | Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data | |
| dc.type | Research Article |