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Graham Williams
Graham Williams
Australian National University
Verified email at togaware.com - Homepage
Title
Cited by
Cited by
Year
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
9112002
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms
K Yamanishi, JI Takeuchi, G Williams, P Milne
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
8802000
Autobiographical memory in depression: state or trait marker?
AD Brittlebank, J Scott, J Mark, G Williams, IN Ferrier
The British Journal of Psychiatry 162 (1), 118-121, 1993
6591993
Data mining with Rattle and R: The art of excavating data for knowledge discovery
G Williams
Springer Science & Business Media, 2011
6002011
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
4301993
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
3772002
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
3022014
Rattle: a data mining GUI for R
G Williams
Copenhagen Business School Press, 2009
2362009
PMML: An open standard for sharing models.
A Guazzelli, M Zeller, WC Lin, G Williams
R J. 1 (1), 60, 2009
2182009
Categoric and extended autobiographical memories
J Mark, G Williams, BH Dritschel
Theoretical perspectives on autobiographical memory, 391-410, 1992
2071992
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
1932012
The use of mindfulness-based approaches for suicidal patients
J Mark, G Williams, M Swales
Archives of suicide research 8 (4), 315-329, 2004
1562004
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
1252016
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
1252008
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
1192005
Mining the knowledge mine
GJ Williams, Z Huang
Australian Joint Conference on Artificial Intelligence, 340-348, 1997
1191997
An Overview Of Temporal Data Mining.
W Lin, MA Orgun, GJ Williams
AusDM, 83-90, 2002
962002
Data mining: Theory, methodology, techniques, and applications
GJ Williams, SJ Simoff
Springer, 2006
902006
Classifying very high-dimensional data with random forests built from small subspaces
B Xu, JZ Huang, G Williams, Q Wang, Y Ye
International Journal of Data Warehousing and Mining (IJDWM) 8 (2), 44-63, 2012
802012
Evolutionary hot spots data mining
GJ Williams
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 184-193, 1999
781999
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