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Scopus Author ID: 7006446454

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Employment (1)

Silicon Valley Data Science: Mountain View, California, US

Principal Data Scientist
Employment
Source: Self-asserted source
Tom Fawcett

Education and qualifications (1)

University of Massachusetts Amherst: Amherst, MA, US

1993-05 | Ph.D. (Computer Science)
Education
Source: Self-asserted source
Tom Fawcett

Works (17)

Mining the quantified self: Personal knowledge discovery as a challenge for data science

Big Data
2015 | Journal article
DOI: 10.1089/big.2015.0049
EID:

2-s2.0-84991746002
Contributors: Fawcett, T.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Authors' Response to Gong's, "Comment on data science and its relationship to big data and data-driven decision making"

Big Data
2014 | Journal article
DOI: 10.1089/big.2014.1516
EID:

2-s2.0-84991764244
Contributors: Provost, F.; Fawcett, T.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Data Science and its Relationship to Big Data and Data-Driven Decision Making

Big Data
2013 | Journal article
DOI: 10.1089/big.2013.1508
EID:

2-s2.0-84991818987
Contributors: Provost, F.; Fawcett, T.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Data Science for Business

O'Reilly Media LLC
2013 | Book
ISBN: 9781449361327
Source: Self-asserted source
Tom Fawcett

Editorial survey: Swarm intelligence for data mining

Machine Learning
2011 | Journal article
DOI: 10.1007/s10994-010-5216-5
EID:

2-s2.0-78650705743
Contributors: Martens, D.; Baesens, B.; Fawcett, T.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

PRIE: A system for generating rulelists to maximize ROC performance

Data Mining and Knowledge Discovery
2008 | Journal article
DOI: 10.1007/s10618-008-0089-y
EID:

2-s2.0-50549087357
Contributors: Fawcett, T.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

PAV and the ROC convex hull

Machine Learning
2007 | Journal article
DOI: 10.1007/s10994-007-5011-0
EID:

2-s2.0-34249731390
Contributors: Fawcett, T.; Niculescu-Mizil, A.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

An introduction to ROC analysis

Pattern Recognition Letters
2006 | Journal article
DOI: 10.1016/j.patrec.2005.10.010
EID:

2-s2.0-33646023117
Contributors: Fawcett, T.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

ROC graphs with instance-varying costs

Pattern Recognition Letters
2006 | Journal article
DOI: 10.1016/j.patrec.2005.10.012
EID:

2-s2.0-33646017973
Contributors: Fawcett, T.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

A response to Webb and Ting's on the application of ROC analysis to predict classification performance under varying class distributions

Machine Learning
2005 | Journal article
DOI: 10.1007/s10994-005-5256-4
EID:

2-s2.0-14844357975
Contributors: Fawcett, T.; Flach, P.A.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Introduction: Lessons learned from data mining applications and collaborative problem solving

Machine Learning
2004 | Journal article
DOI: 10.1023/B:MACH.0000035516.74817.51
EID:

2-s2.0-3242795035
Contributors: Lavrač, N.; Motoda, H.; Fawcett, T.; Holte, R.; Langley, P.; Adriaans, P.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Proceedings, Twentieth International Conference on Machine Learning: Preface

Proceedings, Twentieth International Conference on Machine Learning
2003 | Conference paper
EID:

2-s2.0-1942421214
Contributors: Fawcett, T.; Mishra, N.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Robust classification for imprecise environments

Machine Learning
2001 | Journal article
DOI: 10.1023/A:1007601015854
EID:

2-s2.0-0035283313
Contributors: Provost, F.; Fawcett, T.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Using rule sets to maximize ROC performance

Proceedings - IEEE International Conference on Data Mining, ICDM
2001 | Conference paper
EID:

2-s2.0-78149315656
Contributors: Fawcett, T.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Robust classification systems for imprecise environments

Proceedings of the National Conference on Artificial Intelligence
1998 | Conference paper
EID:

2-s2.0-0031641801
Contributors: Provost, Foster; Fawcett, Tom
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Adaptive fraud detection

Data Mining and Knowledge Discovery
1997 | Journal article
EID:

2-s2.0-0013113240
Contributors: Fawcett, T.; Provost, F.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Knowledge-based feature discovery for evaluation functions

Computational Intelligence
1996 | Journal article
EID:

2-s2.0-0030087080
Contributors: Fawcett, T.E.
Source: Self-asserted source
Tom Fawcett via Scopus - Elsevier

Peer review (2 reviews for 1 publication/grant)

Review activity for Data mining and knowledge discovery. (2)
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