Tom Fawcett
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Tom Fawcett is a person.
- See: ROC Analysis, ROC Curve.
References
2013
- (Provost & Fawcett, 2013) ⇒ Foster Provost, and Tom Fawcett. (2013). “Data Science for Business: What You Need to Know About Data Mining and Data-analytic Thinking." O'Reilly Media. ISBN:1449374298
2006
- (Fawcett, 2006a) ⇒ Tom Fawcett. (2006). “An Introduction to ROC Analysis" In: Pattern Recognition Letters, 27(8). doi:doi:10.1016/j.patrec.2005.10.010
- (Fawcett, 2006b) ⇒ Tom Fawcett. (2006). “ROC Graphs with Instance-Varying Costs.” In: Pattern Recognition Letters, 27(8). doi:10.1016/j.patrec.2005.10.012
2004
- (Fawcett, 2004) ⇒ Tom Fawcett. (2004). “ROC Graphs: Notes and Practical Considerations for Researchers." HP Labs Tech Report HPL-2003-4.
2001
- (Provost & Fawcett, 2001) ⇒ Foster Provost, and Tom Fawcett. (2001). “Robust Classification for Imprecise Environments.” In: Machine Learning, 42(3). doi:10.1023/A:1007601015854
1998
- (Provost & Fawcett, 1998) ⇒ Foster Provost, and Tom Fawcett. (1998). “Robust Classification Systems for Imprecise Environments.” In: Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI 1998).
- (Provost et al., 1998) ⇒ Foster Provost, Tom Fawcett, and Ron Kohavi. (1998). “The Case Against Accuracy Estimation for Comparing Induction Algorithms.” In: Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998).
1997
- (Fawcett & Provost, 1997) ⇒ Tom Fawcett, and Foster J. Provost. (1997). “Adaptive Fraud Detection.” In: Data Mining and Knowledge Discovery, 1(3).