Creating visualizations: a case-based reasoning perspective

Authors:
Jill Freyne;Barry Smyth
Affiliations:
CSIRO Tasmanian ICT Center, Hobart, Australia;Centre for Sensor Web Technologies, School of Computer Science and Informatics, University College Dublin, Dublin, Ireland
Venue:
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Year:
2009

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Visualization

Abstract

Visualization is among the most powerful of data analysis techniques and is readily available in standalone systems or components of everyday software packages. In recent years much work has been done to design and develop visualization systems with reduced entry and usage barriers in order to make visualization available to the masses. Here we describe a novel application of case-based reasoning techniques to help users visualize complex datasets. We exploit an online visualization service, Many Eyes and explore how case based representation of datasets including simple features such as size and content types can produce recommendations of visualization types to assist novice users in the selection of appropriate visualizations.