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ORCIDGraham J. Williams
Person information
- affiliation: CSIRO, Canberra, Australia
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Journal Articles
- 2023
[j11]Subudhi Asara Senaratne
, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran:
Unsupervised Identification of Abnormal Nodes and Edges in Graphs. ACM J. Data Inf. Qual. 15(1): 8:1-8:37 (2023)- 2012
- [j10]Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Qiang Wang, Yunming Ye:
Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces. Int. J. Data Warehous. Min. 8(2): 44-63 (2012) - [j9]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) - 2010
- [j8]Denny, Graham J. Williams, Peter Christen:
Visualizing temporal cluster changes using Relative Density Self-Organizing Maps. Knowl. Inf. Syst. 25(2): 281-302 (2010) - 2009
- [j7]Graham J. Williams:
Rattle: A Data Mining GUI for R. R J. 1(2): 45 (2009) - 2008
- [j6]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 Trans. Inf. Technol. Biomed. 12(4): 488-500 (2008) - 2004
- [j5]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) - 2000
- [j4]Sergey Bakin, Markus Hegland, Graham J. Williams:
Mining taxation data with parallel BMARS. Parallel Algorithms Appl. 15(1-2): 37-55 (2000) - 1995
- [j3]Graham J. Williams:
Templates for Spatial Reasoning in Responsive Geographical Information Systems. Int. J. Geogr. Inf. Sci. 9(2): 117-131 (1995) - 1989
- [j2]Graham J. Williams:
FrameUP: A Frames Formalism for Expert Systems. Aust. Comput. J. 21(1): 33-40 (1989) - 1987
- [j1]Graham J. Williams:
Some Experiments in Decision Tree Induction. Aust. Comput. J. 19(2): 84-91 (1987)
Conference and Workshop Papers
- 2023
- [c37]Asara Senaratne, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran:
Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data. AAAI Spring Symposium: MAKE 2023 - [c36]Asara Senaratne, Pouya Ghiasnezhad Omran, Peter Christen, Graham J. Williams:
TRIC: A Triples Corrupter for Knowledge Graphs. ESWC (Satellite Events) 2023: 117-122 - 2021
- [c35]Subudhi Asara Senaratne, Pouya Ghiasnezhad Omran, Graham J. Williams, Peter Christen:
Unsupervised Anomaly Detection in Knowledge Graphs. IJCKG 2021: 161-165 - 2016
- [c34]He Zhao, Xiaojun Chen, Thanh-Tung Nguyen, Joshua Zhexue Huang, Graham J. Williams, Hui Chen:
Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data. PAISI 2016: 63-72 - 2014
- [c33]Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams:
Extensions to Quantile Regression Forests for Very High-Dimensional Data. PAKDD (2) 2014: 247-258 - [c32]Imran Khan, Joshua Zhexue Huang, Nguyen Thanh Tung, Graham J. Williams:
Ensemble Clustering of High Dimensional Data with FastMap Projection. PAKDD Workshops 2014: 483-493 - 2012
- [c31]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 - 2011
- [c30]Denny, Peter Christen, Graham J. Williams:
Analysis of Cluster Migrations Using Self-Organizing Maps. PAKDD Workshops 2011: 171-182 - 2008
- [c29]Denny, Graham J. Williams, Peter Christen:
ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps. ICDM 2008: 173-182 - [c28]Denny, Graham J. Williams, Peter Christen:
Exploratory Hot Spot Profile Analysis Using Interactive Visual Drill-Down Self-Organizing Maps. PAKDD 2008: 536-543 - 2007
- [c27]Denny, Graham J. Williams, Peter Christen:
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study. AusDM 2007: 77-84 - [c26]Xiaojun Chen, Yunming Ye, Graham J. Williams, Xiaofei Xu:
A Survey of Open Source Data Mining Systems. PAKDD Workshops 2007: 3-14 - 2006
- [c25]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 - 2005
- [c24]Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin:
A Delivery Framework for Health Data Mining and Analytics. ACSC 2005: 381-390 - [c23]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 - [c22]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
- [c21]Hongxing He, Graham J. Williams, Jie Chen, Simon Hawkins, Chris Kelman:
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences. DaWaK 2004: 199-208 - [c20]Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin:
Temporal Sequence Associations for Rare Events. PAKDD 2004: 235-239 - [c19]Tatiana Semenova, Markus Hegland, Warwick Graco, Graham J. Williams:
Conceptual Mining of Large Administrative Health Data. PAKDD 2004: 659-669 - 2003
- [c18]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 - [c17]Graham J. Williams:
Mining the Data Stream. HIS 2003: 4 - 2002
- [c16]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 - [c15]Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams:
An Overview Of Temporal Data Mining. AusDM 2002: 83-90 - [c14]Simon Hawkins, Hongxing He, Graham J. Williams, Rohan A. Baxter:
Outlier Detection Using Replicator Neural Networks. DaWaK 2002: 170-180 - [c13]Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams:
Mining Temporal Patterns from Health Care Data. DaWaK 2002: 222-231 - [c12]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
- [c11]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 - [c10]Rohan A. Baxter, Graham J. Williams, Hongxing He:
Feature Selection for Temporal Health Records. PAKDD 2001: 198-209 - [c9]Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams:
Temporal Data Mining Using Hidden Markov-Local Polynomial Models. PAKDD 2001: 324-335 - 2000
- [c8]Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams:
Temporal Data Mining Using Multilevel-Local Polynominal Models. IDEAL 2000: 180-186 - [c7]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 - [c6]Graham J. Williams, Dickson Lukose:
Artificial Intelligence in Industry. PRICAI Workshops 2000: 3-4 - 1999
- [c5]Graham J. Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland, Alonso Marquez, Peter Milne, Rajehndra Nagappan, Stephen G. Roberts:
The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project. Large-Scale Parallel Data Mining 1999: 24-55 - [c4]Graham J. Williams:
Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries. PAKDD 1999: 184-193 - 1997
- [c3]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 - [c2]Gerrit Riessen, Graham J. Williams, Xin Yao:
PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks. Evolutionary Programming 1997: 35-46 - 1993
- [c1]Graham J. Williams, Steven G. Woods:
Representing Expectations in Spatial Information Systems - A Case Study. SSD 1993: 465-476
Parts in Books or Collections
- 2012
- [p2]Graham J. Williams:
Rattle and Other Data Mining Tales. Journeys to Data Mining 2012: 211-229 - 2006
- [p1]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
Editorship
- 2010
- [e7]Thanaruk Theeramunkong, Cholwich Nattee, Paulo J. L. Adeodato, Nitesh V. Chawla, Peter Christen, Philippe Lenca, Josiah Poon, Graham J. Williams:
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 [contents] - 2007
- [e6]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. CRPIT 70, Australian Computer Society 2007, ISBN 978-1-920682-51-4 [contents] - 2006
- [e5]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. CRPIT 61, Australian Computer Society 2006, ISBN 1-920-68242-2 [contents] - [e4]Graham J. Williams, Simeon J. Simoff:
Data Mining - Theory, Methodology, Techniques, and Applications. Lecture Notes in Computer Science 3755, Springer 2006, ISBN 3-540-32547-6 [contents] - 2002
- [e3]Simeon J. Simoff, Graham J. Williams, Markus Hegland:
The 15th Australian Joint Conference on Artificial Intelligence 2002, Proceedings Australasian Data Mining Workshop, Canberra, Australia, 3rd December 2002. University of Technology Sydney, Australia 2002, ISBN 0-9750075-0-5 [contents] - 2001
- [e2]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. Lecture Notes in Computer Science 2035, Springer 2001, ISBN 3-540-41910-1 [contents] - [e1]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. Lecture Notes in Computer Science 2112, Springer 2001, ISBN 3-540-42597-7 [contents]
Coauthor Index
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