Tom Fawcett

33 papers A* 7Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2015 J jnl
Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science.
Big Data
Tom Fawcett
2014 J jnl
Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making".
Big Data
Foster J. Provost, Tom Fawcett
2013 J jnl
Data Science and its Relationship to Big Data and Data-Driven Decision Making.
Big Data
Foster J. Provost, Tom Fawcett
2011 J jnl
Editorial survey: swarm intelligence for data mining.
Mach. Learn.
David Martens, Bart Baesens, Tom Fawcett
2008 J jnl
Data mining with cellular automata.
SIGKDD Explor.
Tom Fawcett
2008 J jnl
PRIE: a system for generating rulelists to maximize ROC performance.
Data Min. Knowl. Discov.
Tom Fawcett
2007 J jnl
PAV and the ROC convex hull.
Mach. Learn.
Tom Fawcett, Alexandru Niculescu-Mizil
2006 J jnl
An introduction to ROC analysis.
Pattern Recognit. Lett.
Tom Fawcett
2006 J jnl
ROC graphs with instance-varying costs.
Pattern Recognit. Lett.
Tom Fawcett
2005 J jnl
A Response to Webb and Ting's
Mach. Learn.
Tom Fawcett, Peter A. Flach
2004 J jnl
"In vivo" spam filtering: A challenge problem for data mining
CoRR
Tom Fawcett
2004 J jnl
Editorial: Data Mining Lessons Learned.
Mach. Learn.
Nada Lavrac, Hiroshi Motoda, Tom Fawcett
2004 J jnl
Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.
Mach. Learn.
Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans
2003 J jnl
"In vivo" spam filtering: a challenge problem for KDD.
SIGKDD Explor.
Tom Fawcett
2003 A* ed.
Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA
Tom Fawcett, Nina Mishra
2001 J jnl
Robust Classification for Imprecise Environments.
Mach. Learn.
Foster J. Provost, Tom Fawcett
2001 — ed.
Tutorial notes of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001
KDD Tutorials
Tom Fawcett
2001 A* conf
Using Rule Sets to Maximize ROC Performance.
ICDM
Tom Fawcett
2000 J jnl
Robust Classification for Imprecise Environments
CoRR
Foster J. Provost, Tom Fawcett
1999 A* conf
Activity Monitoring: Noticing Interesting Changes in Behavior.
KDD
Tom Fawcett, Foster J. Provost
1998 J jnl
AI Approaches to Fraud Detection and Risk Management.
AI Mag.
Tom Fawcett, Ira J. Haimowitz, Foster J. Provost, Salvatore J. Stolfo
1998 — conf
Robust Classification Systems for Imprecise Environments.
AAAI/IAAI
Foster J. Provost, Tom Fawcett
1998 A* conf
The Case against Accuracy Estimation for Comparing Induction Algorithms.
ICML
Foster J. Provost, Tom Fawcett, Ron Kohavi
1997 J jnl
Adaptive Fraud Detection.
Data Min. Knowl. Discov.
Tom Fawcett, Foster J. Provost
1997 A* conf
Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions.
KDD
Foster J. Provost, Tom Fawcett
1996 A* conf
Combining Data Mining and Machine Learning for Effective User Profiling.
KDD
Tom Fawcett, Foster J. Provost
1996 J jnl
Knowledge-Based Feature Discovery for Evaluation Functions.
Comput. Intell.
Tom Fawcett
1992 — conf
Automatic Feature Generation for Problem Solving Systems.
ML
Tom Fawcett, Paul E. Utgoff
1992 J jnl
Intelligent and Cooperative Information Systems Meet Machine Learning.
Int. J. Cooperative Inf. Syst.
John Vittal, Bernard Silver, William J. Frawley, Glenn A. Iba, Tom Fawcett, Susan Dusseault, John Doleac
1991 — conf
A Framework for Cooperative Adaptable Information Systems.
The Next Generation of Information Systems
John Vittal, Bernard Silver, William J. Frawley, Glenn A. Iba, Tom Fawcett, Susan Dusseault, John Doleac
1991 — conf
A Hybrid Method for Feature Generation.
ML
Tom Fawcett, Paul E. Utgoff
1991 A* conf
CABOT: An Adaptive Approach to Case-Based Search.
IJCAI
James P. Callan, Tom Fawcett, Edwina L. Rissland
1989 — conf
Learning from Plausible Explanations.
ML
Tom Fawcett