From Data Mining to Knowledge Discovery in Databases

Ai magazine 115 6870 piatetsky shapiro g and matheus

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Unformatted text preview: 1996. Selecting and Reporting What Is Interesting: The KEfiR Application to Healthcare Data. In Advances in Knowledge Discovery and Data Mining, eds. U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, 495–516. Menlo Park, Calif.: AAAI Press. Pearl, J. 1988. Probabilistic Reasoning in Intelligent Systems. San Francisco, Calif.: Morgan Kaufmann. Piatetsky-Shapiro, G. 1995. Knowledge Discovery in Personal Data versus Privacy—A Mini-Symposium. IEEE Expert 10(5). Piatetsky-Shapiro, G. 1991. Knowledge Discovery in Real Databases: A Report on the IJCAI-89 Workshop. AI Magazine 11(5): 68–70. Piatetsky-Shapiro, G., and Matheus, C. 1994. The Interestingness of Deviations. In Proceedings of KDD-94, eds. U. M. Fayyad and R. Uthurusamy. Technical Report WS-03. Menlo Park, Calif.: AAAI Press. Piatetsky-Shapiro, G.; Brachman, R.; Khabaza, T.; Kloesgen, W.; and Simoudis, E., 1996. An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), eds. J. Han and E. Simoudis, 89–95. Menlo Park, Calif.: American Association for Artificial Intelligence. Quinlan, J. 1992. C4.5: Programs for Machine Learning. San Francisco, Calif.: Morgan Kaufmann. Ripley, B. D. 1994. Neural Networks and Related Methods for Classification. Journal of the Royal Statistical Society B. 56(3): 409–437. Senator, T.; Goldberg, H. G.; Wooton, J.; Cottini, M. A.; Umarkhan, A. F.; Klinger, C. D.; Llamas, W. M.; Marrone, M. P.; and Wong, R. W. H. 1995. The Financial Crimes Enforcement Network AI System ( FAIS ): Identifying Potential Money Laundering from Reports of Large Cash Transactions. AI Magazine 16(4): 21–39. Shrager, J., and Langley, P., eds. 1990. Computational Models of Scientific Discovery and Theory Formation. San Francisco, Calif.: Morgan Kaufmann. Silberschatz, A., and Tuzhilin, A. 1995. On Subjective Measures of Interestingness in Knowledge Discovery. In Proceedings of KDD-95: First International Conference on Knowledge Discovery and Data Mining, 275–281. Menlo Park, Calif.: American Association for Artificial Intelligence. Silverman, B. 1986. Density Estimation for Statistics and Data Analysis. New York: Chapman and Hall. Simoudis, E.; Livezey, B.; and Kerber, R. 1995. Using Recon for Data Cleaning. In Proceedings of KDD-95: First International Conference on Knowledge Discovery and Data Mining, 275–281. Menlo Park, Calif.: American Association for Artificial Intelligence. Smyth, P.; Burl, M.; Fayyad, U.; and Perona, P. 1996. Modeling Subjective Uncertainty in Image Annotation. In Advances in Knowledge Discovery and Data Mining, 5 17–540. Menlo Park, Calif.: AAAI Press. Spirtes, P.; Glymour, C.; and Scheines, R. 1993. Causation, Prediction, and Search. N ew York: Springer-Verlag. Stolorz, P.; Nakamura, H.; Mesrobian, E.; Muntz, R.; Shek, E.; Santos, J.; Yi, J.; Ng, K.; Chien, S.; Mechoso, C.; and Farrara, J. 1995. Fast Spatio-...
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