| * | 2008 |
| 40 | EE | Denny,
Graham J. Williams,
Peter Christen:
ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps.
ICDM 2008: 173-182 |
| 39 | EE | Denny,
Graham J. Williams,
Peter Christen:
Exploratory Hot Spot Profile Analysis Using Interactive Visual Drill-Down Self-Organizing Maps.
PAKDD 2008: 536-543 |
| 38 | EE | Huidong Jin,
Jie Chen,
Hongxing He,
Graham J. Williams,
Chris Kelman,
Christine M. O'Keefe:
Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions.
IEEE Transactions on Information Technology in Biomedicine 12(4): 488-500 (2008) |
| 2007 |
| 37 | | Peter Christen,
Paul J. Kennedy,
Jiuyong Li,
Inna Kolyshkina,
Graham J. Williams:
Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings
Australian Computer Society 2007 |
| 36 | EE | Denny,
Graham J. Williams,
Peter Christen:
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study.
AusDM 2007: 77-84 |
| 35 | EE | Xiaojun Chen,
Yunming Ye,
Graham J. Williams,
Xiaofei Xu:
A Survey of Open Source Data Mining Systems.
PAKDD Workshops 2007: 3-14 |
| 2006 |
| 34 | | Peter Christen,
Paul J. Kennedy,
Jiuyong Li,
Simeon J. Simoff,
Graham J. Williams:
Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings
Australian Computer Society 2006 |
| 33 | | Graham J. Williams,
Simeon J. Simoff:
Data Mining - Theory, Methodology, Techniques, and Applications
Springer 2006 |
| 32 | EE | Yunming Ye,
Joshua Zhexue Huang,
Xiaojun Chen,
Shuigeng Zhou,
Graham J. Williams,
Xiaofei Xu:
Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering.
PAKDD 2006: 189-198 |
| 31 | EE | Jie Chen,
Hongxing He,
Huidong Jin,
Damien McAullay,
Graham J. Williams,
Chris Kelman:
Identifying Risk Groups Associated with Colorectal Cancer.
Selected Papers from AusDM 2006: 260-272 |
| 2005 |
| 30 | EE | Damien McAullay,
Graham J. Williams,
Jie Chen,
Huidong Jin:
A Delivery Framework for Health Data Mining and Analytics.
ACSC 2005: 381-390 |
| 29 | EE | Jiuyong Li,
Ada Wai-Chee Fu,
Hongxing He,
Jie Chen,
Huidong Jin,
Damien McAullay,
Graham J. Williams,
Ross Sparks,
Chris Kelman:
Mining risk patterns in medical data.
KDD 2005: 770-775 |
| 28 | EE | Jie Chen,
Hongxing He,
Jiuyong Li,
Huidong Jin,
Damien McAullay,
Graham J. Williams,
Ross Sparks,
Chris Kelman:
Representing Association Classification Rules Mined from Health Data.
KES (3) 2005: 1225-1231 |
| 2004 |
| 27 | EE | Hongxing He,
Graham J. Williams,
Jie Chen,
Simon Hawkins,
Chris Kelman:
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences.
DaWaK 2004: 199-208 |
| 26 | EE | Jie Chen,
Hongxing He,
Graham J. Williams,
Huidong Jin:
Temporal Sequence Associations for Rare Events.
PAKDD 2004: 235-239 |
| 25 | EE | Tatiana Semenova,
Markus Hegland,
Warwick Graco,
Graham J. Williams:
Conceptual Mining of Large Administrative Health Data.
PAKDD 2004: 659-669 |
| 24 | EE | Kenji Yamanishi,
Jun-ichi Takeuchi,
Graham J. Williams,
Peter Milne:
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms.
Data Min. Knowl. Discov. 8(3): 275-300 (2004) |
| 2003 |
| 23 | EE | Lifang Gu,
Jiuyong Li,
Hongxing He,
Graham J. Williams,
Simon Hawkins,
Chris Kelman:
Association Rule Discovery with Unbalanced Class Distributions.
Australian Conference on Artificial Intelligence 2003: 221-232 |
| 22 | | Graham J. Williams:
Mining the Data Stream.
HIS 2003: 4 |
| 2002 |
| 21 | EE | Graham J. Williams,
Rohan A. Baxter,
Chris Kelman,
Chris P. Rainsford,
Hongxing He,
Lifang Gu,
Deanne Vickers,
Simon Hawkins:
Estimating Episodes of Care Using Linked Medical Claims Data.
Australian Joint Conference on Artificial Intelligence 2002: 660-671 |
| 20 | EE | Simon Hawkins,
Hongxing He,
Graham J. Williams,
Rohan A. Baxter:
Outlier Detection Using Replicator Neural Networks.
DaWaK 2002: 170-180 |
| 19 | EE | Weiqiang Lin,
Mehmet A. Orgun,
Graham J. Williams:
Mining Temporal Patterns from Health Care Data.
DaWaK 2002: 222-231 |
| 18 | EE | Graham J. Williams,
Rohan A. Baxter,
Hongxing He,
Simon Hawkins,
Lifang Gu:
A Comparative Study of RNN for Outlier Detection in Data Mining.
ICDM 2002: 709-712 |
| 2001 |
| 17 | | David Wai-Lok Cheung,
Graham J. Williams,
Qing Li:
Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings
Springer 2001 |
| 16 | | Ryszard Kowalczyk,
Seng Wai Loke,
Nancy E. Reed,
Graham J. Williams:
Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader, Four Workshops held at PRICAI 2000, Melbourne, Australia, August 28 - September 1, 2000, Revised Papers
Springer 2001 |
| 15 | EE | Simon Hawkins,
Graham J. Williams,
Rohan A. Baxter,
Peter Christen,
Michael J. Fett,
Markus Hegland,
Fuchun Huang,
Ole Møller Nielsen,
Tatiana Semenova,
Andrew Smith:
Data Mining of Administrative Claims Data for Pathology Services.
HICSS 2001 |
| 14 | EE | Rohan A. Baxter,
Graham J. Williams,
Hongxing He:
Feature Selection for Temporal Health Records.
PAKDD 2001: 198-209 |
| 13 | EE | Weiqiang Lin,
Mehmet A. Orgun,
Graham J. Williams:
Temporal Data Mining Using Hidden Markov-Local Polynomial Models.
PAKDD 2001: 324-335 |
| 2000 |
| 12 | EE | Weiqiang Lin,
Mehmet A. Orgun,
Graham J. Williams:
Temporal Data Mining Using Multilevel-Local Polynominal Models.
IDEAL 2000: 180-186 |
| 11 | EE | Kenji Yamanishi,
Jun-ichi Takeuchi,
Graham J. Williams,
Peter Milne:
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms.
KDD 2000: 320-324 |
| 10 | EE | Graham J. Williams,
Dickson Lukose:
Artificial Intelligence in Industry.
PRICAI Workshops 2000: 3-4 |
| 9 | | Sergey Bakin,
Markus Hegland,
Graham J. Williams:
Mining taxation data with parallel BMARS.
Parallel Algorithms Appl. 15(1-2): 37-55 (2000) |
| 1999 |
| 8 | EE | Graham J. Williams,
Irfan Altas,
Sergey Bakin,
Peter Christen,
Markus Hegland,
Alonso Marquez,
Peter Milne,
Rajehndra Nagappan,
Stephen Roberts:
The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project.
Large-Scale Parallel Data Mining 1999: 24-55 |
| 7 | EE | Graham J. Williams:
Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries.
PAKDD 1999: 184-193 |
| 1997 |
| 6 | EE | Graham J. Williams,
Zhexue Huang:
Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases.
Australian Joint Conference on Artificial Intelligence 1997: 340-348 |
| 5 | | Gerrit Riessen,
Graham J. Williams,
Xin Yao:
PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks.
Evolutionary Programming 1997: 35-46 |
| 1995 |
| 4 | | Graham J. Williams:
Templates for Spatial Reasoning in Responsive Geographical Information Systems.
International Journal of Geographical Information Systems 9(2): 117-131 (1995) |
| 1993 |
| 3 | EE | Graham J. Williams,
Steven G. Woods:
Representing Expectations in Spatial Information Systems - A Case Study.
SSD 1993: 465-476 |
| 1989 |
| 2 | | Graham J. Williams:
FrameUP: A Frames Formalism for Expert Systems.
Australian Computer Journal 21(1): 33-40 (1989) |
| 1987 |
| 1 | | Graham J. Williams:
Some Experiments in Decision Tree Induction.
Australian Computer Journal 19(2): 84-91 (1987) |