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Using MineSet for Knowledge Discovery
July-August 1997 (vol. 17 no. 4)
pp. 75-78
MineSet is an application designed to aid knowledge discovery and provide support for decision making based on relational data. Presented here are some of the ways visualization and data mining are used in MineSet to arrive at interesting results.

1. C. Brunk, J. Kelly, and R. Kohavi, "MineSet: An Integrated System for Data Access, Visual Data Mining, and Analytical Data Mining," Proc. of KDD 97, http://www.sgi.com/Products/software/MineSet.
2. R. Kohavi, D. Sommerfield, and J. Dougherty, "Data Mining Using MLC++: A Machine Learning Library in C++," Tools with Artificial Intelligence, IEEE Computer Soc. Press, Los Alamitos, Calif., 1996, pp. 234-245, http://www.sgi.com/Technology/mlc.
3. M. Ward, High Dimensional Brushing for Interactive Exploration of Multivariate Data Proc. IEEE Conf. Visualization (Vis '95), pp. 271-278, 1995.
4. C. Ahlberg and E. Wistrand, "IVEE: An Information Visualization and Exploration Environment," Proc. Information Visualization 95, Oct. 1995, IEEE Computer Soc. Press, Los Alamitos, Calif., pp. 66-73.

Citation:
Barry G. Becker, "Using MineSet for Knowledge Discovery," IEEE Computer Graphics and Applications, vol. 17, no. 4, pp. 75-78, July-Aug. 1997, doi:10.1109/38.595278
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