Tom Fawcett

Orcid: 0000-0002-9074-7516

According to our database1, Tom Fawcett authored at least 31 papers between 1989 and 2015.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2015
Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science.
Big Data, 2015

2014
Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making".
Big Data, 2014

2013
Data Science and its Relationship to Big Data and Data-Driven Decision Making.
Big Data, 2013

2011
Editorial survey: swarm intelligence for data mining.
Mach. Learn., 2011

2008
Data mining with cellular automata.
SIGKDD Explor., 2008

PRIE: a system for generating rulelists to maximize ROC performance.
Data Min. Knowl. Discov., 2008

2007
PAV and the ROC convex hull.
Mach. Learn., 2007

2006
ROC graphs with instance-varying costs.
Pattern Recognit. Lett., 2006

An introduction to ROC analysis.
Pattern Recognit. Lett., 2006

2005
A Response to Webb and Ting's <i>On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions</i>.
Mach. Learn., 2005

2004
Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.
Mach. Learn., 2004

Editorial: Data Mining Lessons Learned.
Mach. Learn., 2004

"In vivo" spam filtering: A challenge problem for data mining
CoRR, 2004

2003
"In vivo" spam filtering: a challenge problem for KDD.
SIGKDD Explor., 2003

2001
Robust Classification for Imprecise Environments.
Mach. Learn., 2001

Using Rule Sets to Maximize ROC Performance.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

1999
Activity Monitoring: Noticing Interesting Changes in Behavior.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998
AI Approaches to Fraud Detection and Risk Management.
AI Mag., 1998

The Case against Accuracy Estimation for Comparing Induction Algorithms.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Robust Classification Systems for Imprecise Environments.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Adaptive Fraud Detection.
Data Min. Knowl. Discov., 1997

Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

1996
Knowledge-Based Feature Discovery for Evaluation Functions.
Comput. Intell., 1996

Combining Data Mining and Machine Learning for Effective User Profiling.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

1992
Intelligent and Cooperative Information Systems Meet Machine Learning.
Int. J. Cooperative Inf. Syst., 1992

Automatic Feature Generation for Problem Solving Systems.
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991
Othello Domain Theory.
Dataset, January, 1991

A Framework for Cooperative Adaptable Information Systems.
Proceedings of the Next Generation of Information Systems: From Data to Knowledge, 1991

CABOT: An Adaptive Approach to Case-Based Search.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

A Hybrid Method for Feature Generation.
Proceedings of the Eighth International Workshop (ML91), 1991

1989
Learning from Plausible Explanations.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989


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