Demo Data from VLDB 2026 / reviewers in the wild / expert
Stefan Weber 0004
dblp:74/765-4 · also Stefan Hagen Weber
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
visual analytics |
0.4 | 1 | 2019 | Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field · IEEE Trans. Vis. Comput. Graph. 2019 |
Data mining
big data analytics |
0.1 | 1 | 2019 | Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field · IEEE Trans. Vis. Comput. Graph. 2019 |
Methods — techniques the papers use, named apart from their topics
survey · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Commercial Visual Analytics Systems-Advances in the Big Data Analytics FieldabstractFive years after the first state-of-the-art report on Commercial Visual Analytics Systems we present a reevaluation of the Big Data Analytics field. We build on the success of the 2012 survey, which was influential even beyond the boundaries of the InfoVis and Visual Analytics (VA) community. While the field has matured significantly since the original survey, we find that innovation and research-driven development are increasingly sacrificed to satisfy a wide range of user groups. We evaluate new product versions on established evaluation criteria, such as available features, performance, and usability, to extend on and assure comparability with the previous survey. We also investigate previously unavailable products to paint a more complete picture of the commercial VA landscape. Furthermore, we introduce novel measures, like suitability for specific user groups and the ability to handle complex data types, and undertake a new case study to highlight innovative features. We explore the achievements in the commercial sector in addressing VA challenges and propose novel developments that should be on systems' roadmaps in the coming years. Michael Behrisch 0001, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Weber 0004, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim |
IEEE Trans. Vis. Comput. Graph. | 6 |