Graham Williams
Graham Williams
Australian National University
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Cited by
Cited by
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms
K Yamanishi, JI Takeuchi, G Williams, P Milne
Data Mining and Knowledge Discovery 8 (3), 275-300, 2004
Outlier detection using replicator neural networks
S Hawkins, H He, G Williams, R Baxter
International Conference on Data Warehousing and Knowledge Discovery, 170-180, 2002
Data mining with Rattle and R: The art of excavating data for knowledge discovery
G Williams
Springer Science & Business Media, 2011
Emergence of vancomycin-resistant enterococci in New York City
TR Frieden, SS Munsiff, G Williams, Y Faur, B Kreiswirth, DE Low, ...
The Lancet 342 (8863), 76-79, 1993
A comparative study of RNN for outlier detection in data mining
G Williams, R Baxter, H He, S Hawkins, L Gu
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 709-712, 2002
Big data opportunities and challenges: Discussions from data analytics perspectives [discussion forum]
ZH Zhou, NV Chawla, Y Jin, GJ Williams
IEEE Computational intelligence magazine 9 (4), 62-74, 2014
Rattle: a data mining GUI for R
G Williams
Copenhagen Business School Press, 2009
PMML: An open standard for sharing models
A Guazzelli, M Zeller, WC Lin, G Williams
The R Journal 1 (1), 60-65, 2009
RI: an Expert in the Computer Systems Domain.
JP McDermott
AAAI 1, 269-271, 1980
KDD'15: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
L Cao, C Zhang, T Joachims, GIB Webb, D Margineantu, G Williams
Association for Computing Machinery (ACM), 2015
Topic oriented community detection through social objects and link analysis in social networks
Z Zhao, S Feng, Q Wang, JZ Huang, GJ Williams, J Fan
Knowledge-Based Systems 26, 164-173, 2012
HEARSAY-II: A Domain-Independent Framework for Expert Systems.
R Balzer, LD Erman, P London, C Williams
AAAI 1, 108-110, 1980
Mining unexpected temporal associations: applications in detecting adverse drug reactions
H Jin, J Chen, H He, GJ Williams, C Kelman, CM O'Keefe
IEEE Transactions on Information Technology in Biomedicine 12 (4), 488-500, 2008
Mining risk patterns in medical data
J Li, AW Fu, H He, J Chen, H Jin, D McAullay, G Williams, R Sparks, ...
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
Mining the knowledge mine
GJ Williams, Z Huang
Australian Joint Conference on Artificial Intelligence, 340-348, 1997
An Overview Of Temporal Data Mining.
W Lin, MA Orgun, GJ Williams
AusDM, 83-90, 2002
Cause of death and predictors of all‐cause mortality in anticoagulated patients with nonvalvular atrial fibrillation: data from ROCKET AF
SD Pokorney, JP Piccini, SR Stevens, MR Patel, KS Pieper, JL Halperin, ...
Journal of the American Heart Association 5 (3), e002197, 2016
Molecular subtyping of Clostridium perfringens by pulsed-field gel electrophoresis to facilitate food-borne-disease outbreak investigations
SE Maslanka, JG Kerr, G Williams, JM Barbaree, LA Carson, JM Miller, ...
Journal of clinical microbiology 37 (7), 2209-2214, 1999
Decision models for record linkage
L Gu, R Baxter
Data mining, 146-160, 2006
Data mining: Theory, methodology, techniques, and applications
GJ Williams, SJ Simoff
Springer, 2006
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