Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 03 - Aufgabe 1 - Extract: Difference between revisions
No edit summary |
mNo edit summary |
||
Line 18: | Line 18: | ||
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]}} | 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]}} | ||
This figure shows you where the extract is placed in the Knowledge Crystallization Loop. | This figure shows you where the extract is placed in the Knowledge Crystallization Loop. | ||
[[Image:knowledg_cl.gif| | |||
[[Image:knowledg_cl.gif|400px|[Miksch, 2007]]] | |||
== References == | == References == |
Latest revision as of 01:02, 10 November 2007
Extract is the last and 7th task of the Visual Information-Seeking Mantra.
The following quotations explain very well why to do extract and offer some possibilities for intended use.
To understand the third quotation you will need the following background information.
A Degree of Interest (DOI) function, mapping to the unit interval, is generated by this interaction process to describe the interest level for every feature in the data. Non-binary, i.e., fractional DOI-values allow to specify smoothly delimited features through so-called Smooth Brushing, which describes the users interest better in certain circumstances.
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.
This figure shows you where the extract is placed in the Knowledge Crystallization Loop.
References[edit]
- [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.
- [Shneiderman, 1996] Ben Shneiderman, The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In Proceedings of the IEEE Symposium on Visual Languages, pages 336-343, Washington. IEEE Computer Society Press, 1996. http://citeseer.ist.psu.edu/409647.html
- [Sahling, 2002] Gerald N. Sahling, Interactive 3D Scatterplots - From High Dimensional Data to Insight, Master's thesis, Vienna University of Technology, 2002.
- [Miksch, 2007] Silvia Miksch. LVA Informationsvisualisierung. Institute of Software Technology and Interactive Systems, Vienna University of Technology. October 2007. http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/