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Activity Number: 80
Type: Luncheons
Date/Time: Monday, August 7, 2006 : 7:00 AM to 8:15 AM
Sponsor: Section on Statistical Graphics
Abstract - #306733
Title: Graphics for Data Mining
Author(s): Martin Theus*+
Companies: University of Augsburg
Address: Universitätsstr. 14, Augsburg, 86135, Germany
Keywords: large datasets ; data mining ; interactive graphics ; data cleaning ; databases
Abstract:

This coffee session will highlight experiences with using graphics in data mining applications. Graphics are not only one of the most effective tools for checking the quality of data, they also can help discover special features in a large dataset. The design and implementation of statistical graphics should pay attention to the challenges from big datasets. For many users, this has not been an issue until now, so some statistical and graphics packages can have problems with graphics of more than 10,000 cases. However, most plots used in statistical graphics can be scaled up to be usable with large datasets.


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Revised April, 2006