CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Machine learning and statistics: the interface
Machine learning and statistics: the interface
Towards an effective cooperation of the user and the computer for classification
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
RuleViz: a model for visualizing knowledge discovery process
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Table lens as a tool for making sense of data
AVI '96 Proceedings of the workshop on Advanced visual interfaces
Visual Verification of Hypotheses
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
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We introduce an interactive classifier construction system, CVizT, in which the entire process is visualized based on a multidimensional visualization technique, Table Lens. The CVizT system is a fully interactive approach. The appropriate visualization-based interaction capabilities are provided for the user to include human perception into the construction process. Our experiments with data sets from the UCI repository demonstrates that the CVizT system is straightforward and easily learned. The user's preference and domain knowledge can also be integrated into the construction process.