Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 03 - Aufgabe 1 - Extract
The result of all the mapping, exploration, and interaction process is a selection and rating of interesting data sets. It is important that this user effort is not lost afterwards. It can be extracted, saved, and used in other applications. Smooth brushing assigns an interest rate to every data item which is stored in the DOI array. This array is written back to the database, so the process ends where it began.
Other programs, methods or tools can access that DOI rating and benefit from it in different ways. Either as the amount of data shrank because only highly interesting data points have to be analyzed. Or they gain utility because they use the additional DOI information for color coding or highlighting.
However, the aim of the process described here is to gain insight into the data set and use that knowledge to define subsets for further analysis tasks.[Sahling, 2002]
Why "extract"?
In the process of using information visualization tools, users are frequently engaged in lengthy and complex operations. Information and knowledge that they discover may be important for several different tasks or ongoing work projects. Accordingly, they should be able to extract important findings for use in other computing systems. Extraction can also provide a means of saving work, thereby preventing the need to repeat data manipulations for future projects.
[Craft, Cairns, 2005]
References
- [Sahling, 2002] Gerald N. Sahling, Interactive 3D Scatterplots - From High Dimensional Data to Insight, Master's thesis, Vienna University of Technology, 2002.
- [Craft, Cairns, 2005] Brock Craft, Paul Cairns. Beyond guidelines: what can we learn from the visual information seeking mantra?. Information Visualisation, 2005. Proceedings. Ninth International Conference on, 110-118 , July 2005