Mastering the Information Age - Solving Problems with Visual Analytics

By Daniel A. Keim, Jörn Kohlhammer, Geoffrey P. Ellis, Florian Mansmann. 2010

928 citations recorded by the source corpus.

Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/ad4cb896a2803136df0821a86ff187c4f47656e0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Andreas Holzinger
2. Saurav Prakash
3. Amir Salman Avestimehr

In Computer Vision and Pattern Recognition

1. Shixia Liu
2. Yingcai Wu
3. Ronghua Liang
4. Guodao Sun
5. Andreas Holzinger
6. Tobias Isenberg
7. Petra Isenberg
8. L. V. D. van der Maaten

In Management Information Systems

1. Andreas Holzinger
2. Wil van der Aalst
3. Jing Chen

Citations in the corpus

• Human-Computer Interaction and Knowledge Discovery (HCI-KDD): What Is the Benefit of Bringing Those Two Fields to Work Together? (2013, positive): “…its own scientific community [29] and maybe had it origins in Shneiderman’s visual analytics mantra (“overview first, zoom/ filter, details on demand” [30]) and Keim’s extended mantra (“Analyse First – Show the Important – Zoom, Filter and Analyse Further – Details on Demand” [29], [31]).”
• Process Mining (2016, background): “Visual analytics, a term coined by Jim Thomas (1946–2010), combines automated analysis techniques with interactive visualizations for an effective understanding, reasoning and decision making on the basis of very large and complex data sets [83].”
• Accelerating t-SNE using tree-based algorithms (2014, background): “Visual analytics provides and develops approaches to obtain such understanding from complex data: it aims to develop methods that allow analysts to examine the processes underlying the data (Keim et al., 2010).”
• A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, methodology): “Keim et al.([2]) also introduced a seminal framework to depict the visual analytics process.”
• A Systematic Review on the Practice of Evaluating Visualization (2013, methodology): “Here we highlight some select methods discussed in the past.”
• Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey (2013, neutral): “Visual analytics is the interdisciplinary science of analytical reasoning facilitated by interactive, visual and analytical methods [3], [4], [5], [6].”