FEATURE ARTICLE
Knowledge Discovery and Data Mining
Computers taught to discern patterns, detect anomalies and apply decision algorithms can help secure computer systems and find volcanoes on Venus
Carla Brodley, Terran Lane, Timothy Stough
Acknowledgments
This research has been carried out with the support of the Jet Propulsion Laboratory under Grant #960628, of IBM under Grant #6712757 and of NASA under Grant #NAG5-6971. Terran Lane's research was supported by the U.S. Department of Defense. The research on land-cover classification was carried out jointly with Mark Friedl from the Center for Remote Sensing at Boston University.
Bibliography
- Brown, J., R. Earnshaw, M. Jern and J. Vince. 1995. Visualization: Using Computer Graphics to Explore Data and Present Information. John Wiley & Sons.
- Burl, M. C., U. M. Fayyad, P. Perona, P. Smyth and M. P. Burl. 1994. Automating the hunt for volcanoes on Venus. In Proceedings of the 1994 Computer Vision and Pattern Recognition Conference (CVPR-94). Los Alamitos, CA: IEEE Computer Society Press, pp. 302?309.
- Fayyad, U. M., D. Haussler and P. Stolorz. 1996. Mining scientific data. Communications of the ACM 39:51–57. [CrossRef]
- Fayyad, U. M., G. Piatetsky-Shapiro and P. Smyth. 1996. Data mining and knowledge discovery in databases: An overview. Communications of the ACM 39:27–34. [CrossRef]
- Friedl, M., C. E. Brodley,and A. Strahler. Maximizing land cover classification accuracies produced by decision trees at continental to global scales. IEEE Transactions on Geoscience and Remote Sensing, to appear.
- Lane, T., and C. E. Brodley. 1998. Approaches to online learning and concept drift for user identification in computer security. In Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp. 259?263. New York: AAAI Press.
- Mitchell, T. M. 1997. Machine Learning. New York: McGraw-Hill. [CrossRef]
- Stough, T., and C. E. Brodley. 1997. Image feature reduction through spoiling: Its application to multiple matched filters for focus of attention. In Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, pp. 255?258. New York: AAAI Press.