Title :
Multidimensional detective
Author :
Inselberg, Alfred
Author_Institution :
Dept. of Comput. Sci., Tel Aviv Univ., Israel
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;
Conference_Titel :
Information Visualization, 1997. Proceedings., IEEE Symposium on
Conference_Location :
Phoenix, AZ, USA
Print_ISBN :
0-8186-8189-6
DOI :
10.1109/INFVIS.1997.636793