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Tom Fawcett :
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Tom Fawcett , Foster J. Provost Adaptive Fraud Detection. [Citation Graph (1, 0)][DBLP ] Data Min. Knowl. Discov., 1997, v:1, n:3, pp:291-316 [Journal ] Foster J. Provost , Tom Fawcett Robust Classification Systems for Imprecise Environments. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 1998, pp:706-713 [Conf ] Tom Fawcett Using Rule Sets to Maximize ROC Performance. [Citation Graph (0, 0)][DBLP ] ICDM, 2001, pp:131-138 [Conf ] Tom Fawcett Learning from Plausible Explanations. [Citation Graph (0, 0)][DBLP ] ML, 1989, pp:37-39 [Conf ] Tom Fawcett , Paul E. Utgoff A Hybrid Method for Feature Generation. [Citation Graph (0, 0)][DBLP ] ML, 1991, pp:137-141 [Conf ] Tom Fawcett , Paul E. Utgoff Automatic Feature Generation for Problem Solving Systems. [Citation Graph (0, 0)][DBLP ] ML, 1992, pp:144-153 [Conf ] Foster J. Provost , Tom Fawcett , Ron Kohavi The Case against Accuracy Estimation for Comparing Induction Algorithms. [Citation Graph (0, 0)][DBLP ] ICML, 1998, pp:445-453 [Conf ] James P. Callan , Tom Fawcett , Edwina L. Rissland CABOT: An Adaptive Approach to Case-Based Search. [Citation Graph (0, 0)][DBLP ] IJCAI, 1991, pp:803-809 [Conf ] John Vittal , Bernard Silver , William J. Frawley , Glenn A. Iba , Tom Fawcett , Susan Dusseault , John Doleac A Framework for Cooperative Adaptable Information Systems. [Citation Graph (0, 0)][DBLP ] The Next Generation of Information Systems, 1991, pp:169-184 [Conf ] Tom Fawcett , Foster J. Provost Combining Data Mining and Machine Learning for Effective User Profiling. [Citation Graph (0, 0)][DBLP ] KDD, 1996, pp:8-13 [Conf ] Tom Fawcett , Foster J. Provost Activity Monitoring: Noticing Interesting Changes in Behavior. [Citation Graph (0, 0)][DBLP ] KDD, 1999, pp:53-62 [Conf ] Foster J. Provost , Tom Fawcett Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions. [Citation Graph (0, 0)][DBLP ] KDD, 1997, pp:43-48 [Conf ] Tom Fawcett , Ira J. Haimowitz , Foster J. Provost , Salvatore J. Stolfo AI Approaches to Fraud Detection and Risk Management. [Citation Graph (0, 0)][DBLP ] AI Magazine, 1998, v:19, n:2, pp:107-108 [Journal ] Tom Fawcett Knowledge-Based Feature Discovery for Evaluation Functions. [Citation Graph (0, 0)][DBLP ] Computational Intelligence, 1996, v:12, n:, pp:42-64 [Journal ] Tom Fawcett "In vivo" spam filtering: A challenge problem for data mining [Citation Graph (0, 0)][DBLP ] CoRR, 2004, v:0, n:, pp:- [Journal ] Foster J. Provost , Tom Fawcett Robust Classification for Imprecise Environments [Citation Graph (0, 0)][DBLP ] CoRR, 2000, v:0, n:, pp:- [Journal ] John Vittal , Bernard Silver , William J. Frawley , Glenn A. Iba , Tom Fawcett , Susan Dusseault , John Doleac Intelligent and Cooperative Information Systems Meet Machine Learning. [Citation Graph (0, 0)][DBLP ] Int. J. Cooperative Inf. Syst., 1992, v:2, n:2, pp:347-362 [Journal ] Tom Fawcett , Peter A. Flach A Response to Webb and Ting's On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions . [Citation Graph (0, 0)][DBLP ] Machine Learning, 2005, v:58, n:1, pp:33-38 [Journal ] Nada Lavrac , Hiroshi Motoda , Tom Fawcett Editorial: Data Mining Lessons Learned. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2004, v:57, n:1-2, pp:5-11 [Journal ] Nada Lavrac , Hiroshi Motoda , Tom Fawcett , Robert Holte , Pat Langley , Pieter W. Adriaans Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2004, v:57, n:1-2, pp:13-34 [Journal ] Foster J. Provost , Tom Fawcett Robust Classification for Imprecise Environments. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2001, v:42, n:3, pp:203-231 [Journal ] Tom Fawcett An introduction to ROC analysis. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 2006, v:27, n:8, pp:861-874 [Journal ] Tom Fawcett ROC graphs with instance-varying costs. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 2006, v:27, n:8, pp:882-891 [Journal ] Tom Fawcett "In vivo" spam filtering: a challenge problem for KDD. [Citation Graph (0, 0)][DBLP ] SIGKDD Explorations, 2003, v:5, n:2, pp:140-148 [Journal ] Tom Fawcett , Alexandru Niculescu-Mizil PAV and the ROC convex hull. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2007, v:68, n:1, pp:97-106 [Journal ] PRIE: a system for generating rulelists to maximize ROC performance. [Citation Graph (, )][DBLP ] Search in 0.002secs, Finished in 0.303secs