From Data Mining to Knowledge Discovery in Databases

From Data Mining to Knowledge Discovery in Databases

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Unformatted text preview: ry and Theory Formation, eds. J. Shrager and P. Langley, 73–95. San Francisco, Calif.: Morgan Kaufmann. We thank Sam Uthurusamy, Ron Brachman, and KDD-96 referees for their valuable suggestions and ideas. Cheeseman, P., and Stutz, J. 1996. Bayesian Classification (AUTOCLASS): Theory and Results. In Advances in Knowledge Discovery and Data Mining, eds. FALL 1996 51 Articles U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, 73–95. Menlo Park, Calif.: AAAI Press. Cheng, B., and Titterington, D. M. 1994. Neural Networks—A Review from a Statistical Perspective. Statistical Science 9(1): 2–30. Codd, E. F. 1993. Providing OLAP (On-Line Analytical Processing) to User-Analysts: An IT Mandate. E. F. Codd and Associates. Dasarathy, B. V. 1991. Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques. Washington, D.C.: IEEE Computer Society. Djoko, S.; Cook, D.; and Holder, L. 1995. Analyzing the Benefits of Domain Knowledge in Substructure Discovery. In Proceedings of KDD-95: First International Conference on Knowledge Discovery and Data Mining, 75–80. Menlo Park, Calif.: American Association for Artificial Intelligence. Dzeroski, S. 1996. Inductive Logic Programming for Knowledge Discovery in Databases. In Advances in Knowledge Discovery and Data Mining, eds. U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, 59–82. Menlo Park, Calif.: AAAI Press. Elder, J., and Pregibon, D. 1996. A Statistical Perspective on KDD. In Advances in Knowledge Discovery and Data Mining, eds. U. Fayyad, G. PiatetskyShapiro, P. Smyth, and R. Uthurusamy, 83–116. Menlo Park, Calif.: AAAI Press. Etzioni, O. 1996. The World Wide Web: Quagmire or Gold Mine? Communications of the ACM (Special Issue on Data Mining). November 1996. Forthcoming. Fayyad, U. M.; Djorgovski, S. G.; and Weir, N. 1996. From Digitized Images to On-Line Catalogs: Data Mining a Sky Survey. AI Magazine 17(2): 51–66. Fayyad, U. M.; Haussler, D.; and Stolorz, Z. 1996. KDD for Science Data Analysis: Issues and Examples. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 50–56. Menlo Park, Calif.: American Association for Artificial Intelligence. Fayyad, U. M.; Piatetsky-Shapiro, G.; and Smyth, P. 1996. From Data Mining to Knowledge Discovery: An Overview. In Advances in Knowledge Discovery and Data Mining, e ds. U. Fayyad, G. PiatetskyShapiro, P. Smyth, and R. Uthurusamy, 1–30. Menlo Park, Calif.: AAAI Press. Fayyad, U. M.; Piatetsky-Shapiro, G.; Smyth, P.; and Uthurusamy, R. 1996. Advances in Knowledge Discovery and Data Mining. Menlo Park, Calif.: AAAI Press. Friedman, J. H. 1989. Multivariate Adaptive Regression Splines. Annals of Statistics 19:1–141. Geman, S.; Bienenstock, E.; and Doursat, R. 1992. Neural Networks and the Bias/Variance Dilemma. Neural Computation 4:1–58. Glymour, C.; Madigan, D.; Pregibon, D.; and Smyth, P. 1996. Statistics and Data Mining. Communications of the ACM (Special Issue on Data Mining). November 1996. Forthcoming. Glymour, C.; Scheines, R.; Sp...
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