Graham J. Williams

Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Qiang Wang, Yunming Ye: Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces. IJDWM 8(2): 44-63 (2012)

Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan: Topic oriented community detection through social objects and link analysis in social networks. Knowl.-Based Syst. 26: 164-173 (2012)

Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye: Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. PAKDD (1) 2012: 147-158

Denny, Peter Christen, Graham J. Williams: Analysis of Cluster Migrations Using Self-Organizing Maps. PAKDD Workshops 2011: 171-182

Denny, Graham J. Williams, Peter Christen: Visualizing temporal cluster changes using Relative Density Self-Organizing Maps. Knowl. Inf. Syst. 25(2): 281-302 (2010)

Thanaruk Theeramunkong, Cholwich Nattee, Paulo J. L. Adeodato, Nitesh V. Chawla, Peter Christen, Philippe Lenca, Josiah Poon, Graham J. Williams (Eds.): New Frontiers in Applied Data Mining, PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers. Lecture Notes in Computer Science 5669, Springer 2010, isbn 978-3-642-14639-8

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)

Denny, Graham J. Williams, Peter Christen: ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps. ICDM 2008: 173-182

Denny, Graham J. Williams, Peter Christen: Exploratory Hot Spot Profile Analysis Using Interactive Visual Drill-Down Self-Organizing Maps. PAKDD 2008: 536-543

Denny, Graham J. Williams, Peter Christen: Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study. AusDM 2007: 77-84

Xiaojun Chen, Yunming Ye, Graham J. Williams, Xiaofei Xu: A Survey of Open Source Data Mining Systems. PAKDD Workshops 2007: 3-14

Peter Christen, Paul J. Kennedy, Jiuyong Li, Inna Kolyshkina, Graham J. Williams (Eds.): Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings. CRPIT 70, Australian Computer Society 2007, isbn 978-1-920682-51-4

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

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

Peter Christen, Paul J. Kennedy, Jiuyong Li, Simeon J. Simoff, Graham J. Williams (Eds.): Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings. CRPIT 61, Australian Computer Society 2006, isbn 1-920-68242-2

Graham J. Williams, Simeon J. Simoff (Eds.): Data Mining - Theory, Methodology, Techniques, and Applications. Lecture Notes in Computer Science 3755, Springer 2006, isbn 3-540-32547-6

Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin: A Delivery Framework for Health Data Mining and Analytics. ACSC 2005: 381-390

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

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

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)

Hongxing He, Graham J. Williams, Jie Chen, Simon Hawkins, Chris Kelman: Exploring Possible Adverse Drug Reactions by Clustering Event Sequences. DaWaK 2004: 199-208

Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin: Temporal Sequence Associations for Rare Events. PAKDD 2004: 235-239

Tatiana Semenova, Markus Hegland, Warwick Graco, Graham J. Williams: Conceptual Mining of Large Administrative Health Data. PAKDD 2004: 659-669

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

Graham J. Williams: Mining the Data Stream. HIS 2003: 4

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

Simon Hawkins, Hongxing He, Graham J. Williams, Rohan A. Baxter: Outlier Detection Using Replicator Neural Networks. DaWaK 2002: 170-180

Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams: Mining Temporal Patterns from Health Care Data. DaWaK 2002: 222-231

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

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

Rohan A. Baxter, Graham J. Williams, Hongxing He: Feature Selection for Temporal Health Records. PAKDD 2001: 198-209

Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams: Temporal Data Mining Using Hidden Markov-Local Polynomial Models. PAKDD 2001: 324-335

David Wai-Lok Cheung, Graham J. Williams, Qing Li (Eds.): Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings. Lecture Notes in Computer Science 2035, Springer 2001, isbn 3-540-41910-1

Ryszard Kowalczyk, Seng Wai Loke, Nancy E. Reed, Graham J. Williams (Eds.): Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader, Four Workshops held at PRICAI 2000, Melbourne, Australia, August 28 - September 1, 2000, Revised Papers. Lecture Notes in Computer Science 2112, Springer 2001, isbn 3-540-42597-7

Sergey Bakin, Markus Hegland, Graham J. Williams: Mining taxation data with parallel BMARS. Parallel Algorithms Appl. 15(1-2): 37-55 (2000)

Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams: Temporal Data Mining Using Multilevel-Local Polynominal Models. IDEAL 2000: 180-186

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

Graham J. Williams, Dickson Lukose: Artificial Intelligence in Industry. PRICAI Workshops 2000: 3-4

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

Graham J. Williams: Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries. PAKDD 1999: 184-193

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

Gerrit Riessen, Graham J. Williams, Xin Yao: PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks. Evolutionary Programming 1997: 35-46

Graham J. Williams: Templates for Spatial Reasoning in Responsive Geographical Information Systems. International Journal of Geographical Information Systems 9(2): 117-131 (1995)

Graham J. Williams, Steven G. Woods: Representing Expectations in Spatial Information Systems - A Case Study. SSD 1993: 465-476

Graham J. Williams: FrameUP: A Frames Formalism for Expert Systems. Australian Computer Journal 21(1): 33-40 (1989)

Graham J. Williams: Some Experiments in Decision Tree Induction. Australian Computer Journal 19(2): 84-91 (1987)