Name
Abstract | ||
|---|---|---|
The term Visual Analytics has been around for almost five years by now, but still there are on-going discussions about what it actually is and in particular what is new about it. The core of our view on Visual Analytics is the new enabling and accessible analytic reasoning interactions supported by the combination of automated and visual analysis. In this paper, we outline the scope of Visual Analytics using two problem and three methodological classes in order to workout the need for and purpose of Visual Analytics. By examples of analytic reasoning interaction, the respective advan- tages and disadvantages of automated and visual analysis methods are explained leading to a glimpse into the future of how Visual Analytics methods will enable us to go beyond what is possible when separately using the two methods. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1809400.1809403 | ACM SIGKDD Explorations Newsletter |
Keywords | Field | DocType |
respective advan,visual analysis method,methodological class,accessible analytic reasoning interaction,visual analytics,analytic reasoning interaction,term visual analytics,visual analytics method,visual analysis,analytic solution | Data science,Data mining,Software analytics,Visualization,Computer science,Visual analytics,Analytic reasoning,Semantic analytics,Interactive visual analysis,Human–computer interaction,Cultural analytics,Analytics | Journal |
Volume | Issue | Citations |
11 | 2 | 45 |
PageRank | References | Authors |
2.79 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel A. Keim | 1 | 7704 | 1141.60 |
| Florian Mansmann | 2 | 589 | 35.91 |
| Jim Thomas | 3 | 411 | 37.95 |