DocumentCode
2401970
Title
Multidimensional detective
Author
Inselberg, Alfred
Author_Institution
Dept. of Comput. Sci., Tel Aviv Univ., Israel
fYear
1997
fDate
21-21 Oct. 1997
Firstpage
100
Lastpage
107
Abstract
The display of multivariate datasets in parallel coordinates, transforms the search for relations among the variables into a 2-D pattern recognition problem. This is the basis for the application to visual data mining. The knowledge discovery process together with some general guidelines are illustrated on a dataset from the production of a VLSI chip. The special strength of parallel coordinates is in modeling relations. As an example, a simplified economic model is constructed with data from various economic sectors of a real country. The visual model shows the interelationship and dependencies between the sectors, circumstances where there is competition for the same resource, and feasible economic policies. Interactively, the model can be used to do trade-off analyses, discover sensitivities, do approximate optimization, monitor (as in a process) and provide decision support.
Keywords
data structures; data visualisation; economics; knowledge acquisition; pattern recognition; very large databases; 2D pattern recognition problem; VLSI chip; approximate optimization; competition; decision support; economic model; economic policies; economic sectors; knowledge discovery; modeling relations; monitoring; multidimensional detective; multivariate dataset display; parallel coordinates; trade-off analyses; visual data mining; Application software; Computer displays; Computer science; Data mining; Guidelines; Monitoring; Multidimensional systems; Pattern recognition; Production; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualization, 1997. Proceedings., IEEE Symposium on
Conference_Location
Phoenix, AZ, USA
Print_ISBN
0-8186-8189-6
Type
conf
DOI
10.1109/INFVIS.1997.636793
Filename
636793
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