Graham J. Williams

66 papers A* 4B 11C 2Misc 7Journal 16Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Characterising reproducibility debt in scientific software: A systematic literature review.
J. Syst. Softw.
Zara Hassan, Christoph Treude, Michael Norrish, Graham J. Williams, Alex Potanin
2025 — conf
Taxonomy of Anomaly Types in Knowledge Graphs.
ESWC (Satellite Events)
Asara Senaratne, Peter Christen, Pouya Ghiasnezhad Omran, Graham J. Williams
2024 J jnl
Anomaly Detection and Classification in Knowledge Graphs.
CoRR
Asara Senaratne, Peter Christen, Pouya Ghiasnezhad Omran, Graham J. Williams
2024 — conf
Reproducibility Debt: Challenges and Future Pathways.
SIGSOFT FSE Companion
Zara Hassan, Christoph Treude, Michael Norrish, Graham J. Williams, Alex Potanin
2023 — conf
Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data.
AAAI Spring Symposium: MAKE
Asara Senaratne, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran
2023 — conf
TRIC: A Triples Corrupter for Knowledge Graphs.
ESWC (Satellite Events)
Asara Senaratne, Pouya Ghiasnezhad Omran, Peter Christen, Graham J. Williams
2023 J jnl
Unsupervised Identification of Abnormal Nodes and Edges in Graphs.
ACM J. Data Inf. Qual.
Subudhi Asara Senaratne, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran
2022 Misc ed.
Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings
AusDM
Laurence A. F. Park, Heitor Murilo Gomes, Maryam Doborjeh, Yee Ling Boo, Yun Sing Koh, Yanchang Zhao, Graham J. Williams, Simeon Simoff
2021 Misc ed.
Data Mining - 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings
AusDM
Yue Xu, X. Rosalind Wang, Anton R. Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham J. Williams
2021 J jnl
Differential privacy for public health data: An innovative tool to optimize information sharing while protecting data confidentiality.
Patterns
Amalie Dyda, Michael Purcell, Stephanie Jane Curtis, Emma Field, Priyanka Pillai, Kieran Ricardo, Haotian Weng, Jessica C. Moore, Michael Hewett, Graham J. Williams, Colleen L. Lau
2021 — conf
Unsupervised Anomaly Detection in Knowledge Graphs.
IJCKG
Subudhi Asara Senaratne, Pouya Ghiasnezhad Omran, Graham J. Williams, Peter Christen
2016 — conf
Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data.
PAISI
He Zhao, Xiaojun Chen, Thanh-Tung Nguyen, Joshua Zhexue Huang, Graham J. Williams, Hui Chen
2014 — conf
Ensemble Clustering of High Dimensional Data with FastMap Projection.
PAKDD Workshops
Imran Khan, Joshua Zhexue Huang, Nguyen Thanh Tung, Graham J. Williams
2014 — conf
Extensions to Quantile Regression Forests for Very High-Dimensional Data.
PAKDD (2)
Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams
2013 J jnl
Special issue on behavior computing.
Knowl. Inf. Syst.
Longbing Cao, Philip S. Yu, Hiroshi Motoda, Graham J. Williams
2012 J jnl
Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces.
Int. J. Data Warehous. Min.
Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Qiang Wang, Yunming Ye
2012 — conf
Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data.
PAKDD (1)
Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye
2012 — ch.
Rattle and Other Data Mining Tales.
Journeys to Data Mining
Graham J. Williams
2012 J jnl
Topic oriented community detection through social objects and link analysis in social networks.
Knowl. Based Syst.
Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan
2011 — conf
Analysis of Cluster Migrations Using Self-Organizing Maps.
PAKDD Workshops
Denny, Peter Christen, Graham J. Williams
2010 — ed.
New Frontiers in Applied Data Mining, PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers
PAKDD Workshops
Thanaruk Theeramunkong, Cholwich Nattee, Paulo J. L. Adeodato, Nitesh V. Chawla, Peter Christen, Philippe Lenca, Josiah Poon, Graham J. Williams
2010 J jnl
Visualizing temporal cluster changes using Relative Density Self-Organizing Maps.
Knowl. Inf. Syst.
Denny, Graham J. Williams, Peter Christen
2009 J jnl
PMML: An Open Standard for Sharing Models.
R J.
Alex Guazzelli, Michael Zeller, Wen-Ching Lin, Graham J. Williams
2009 J jnl
Rattle: A Data Mining GUI for R.
R J.
Graham J. Williams
2008 B conf
Exploratory Hot Spot Profile Analysis Using Interactive Visual Drill-Down Self-Organizing Maps.
PAKDD
Denny, Graham J. Williams, Peter Christen
2008 J jnl
Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions.
IEEE Trans. Inf. Technol. Biomed.
Huidong Jin, Jie Chen, Hongxing He, Graham J. Williams, Chris Kelman, Christine M. O'Keefe
2008 A* conf
ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps.
ICDM
Denny, Graham J. Williams, Peter Christen
2007 — conf
A Survey of Open Source Data Mining Systems.
PAKDD Workshops
Xiaojun Chen, Yunming Ye, Graham J. Williams, Xiaofei Xu
2007 Misc ed.
Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings
AusDM
Peter Christen, Paul J. Kennedy, Jiuyong Li, Inna Kolyshkina, Graham J. Williams
2007 Misc conf
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study.
AusDM
Denny, Graham J. Williams, Peter Christen
2006 — book
Data Mining - Theory, Methodology, Techniques, and Applications
Graham J. Williams, Simeon J. Simoff
2006 Misc ed.
Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings
AusDM
Peter Christen, Paul J. Kennedy, Jiuyong Li, Simeon J. Simoff, Graham J. Williams
2006 — ch.
Identifying Risk Groups Associated with Colorectal Cancer.
Selected Papers from AusDM
Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham J. Williams, Chris Kelman
2006 B conf
Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering.
PAKDD
Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu
2005 — conf
A Delivery Framework for Health Data Mining and Analytics.
ACSC
Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin
2005 A* conf
Mining risk patterns in medical data.
KDD
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
2005 — conf
Representing Association Classification Rules Mined from Health Data.
KES (3)
Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
2004 B conf
Conceptual Mining of Large Administrative Health Data.
PAKDD
Tatiana Semenova, Markus Hegland, Warwick Graco, Graham J. Williams
2004 B conf
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences.
DaWaK
Hongxing He, Graham J. Williams, Jie Chen, Simon Hawkins, Chris Kelman
2004 J jnl
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms.
Data Min. Knowl. Discov.
Kenji Yamanishi, Jun'ichi Takeuchi, Graham J. Williams, Peter Milne
2004 B conf
Temporal Sequence Associations for Rare Events.
PAKDD
Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin
2003 — conf
Association Rule Discovery with Unbalanced Class Distributions.
Australian Conference on Artificial Intelligence
Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Williams, Simon Hawkins, Chris Kelman
2003 C conf
Mining the Data Stream.
HIS
Graham J. Williams
2002 A* conf
A Comparative Study of RNN for Outlier Detection in Data Mining.
ICDM
Graham J. Williams, Rohan A. Baxter, Hongxing He, Simon Hawkins, Lifang Gu
2002 Misc conf
An Overview Of Temporal Data Mining.
AusDM
Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams
2002 — conf
Estimating Episodes of Care Using Linked Medical Claims Data.
Australian Joint Conference on Artificial Intelligence
Graham J. Williams, Rohan A. Baxter, Chris Kelman, Chris P. Rainsford, Hongxing He, Lifang Gu, Deanne Vickers, Simon Hawkins
2002 B conf
Mining Temporal Patterns from Health Care Data.
DaWaK
Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams
2002 B conf
Outlier Detection Using Replicator Neural Networks.
DaWaK
Simon Hawkins, Hongxing He, Graham J. Williams, Rohan A. Baxter
2002 Misc ed.
The 15th Australian Joint Conference on Artificial Intelligence 2002, Proceedings Australasian Data Mining Workshop, Canberra, Australia, 3rd December 2002
AusDM
Simeon J. Simoff, Graham J. Williams, Markus Hegland
2001 — ed.
Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader, Four Workshops held at PRICAI 2000, Melbourne, Australia, August 28 - September 1, 2000, Revised Papers
PRICAI Workshops
Ryszard Kowalczyk, Seng Wai Loke, Nancy E. Reed, Graham J. Williams
2001 — conf
Data Mining of Administrative Claims Data for Pathology Services.
HICSS
Simon Hawkins, Graham J. Williams, Rohan A. Baxter, Peter Christen, Michael J. Fett, Markus Hegland, Fuchun Huang, Ole Møller Nielsen, Tatiana Semenova, Andrew Smith
2001 B conf
Feature Selection for Temporal Health Records.
PAKDD
Rohan A. Baxter, Graham J. Williams, Hongxing He
2001 B ed.
Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings
PAKDD
David Wai-Lok Cheung, Graham J. Williams, Qing Li
2001 B conf
Temporal Data Mining Using Hidden Markov-Local Polynomial Models.
PAKDD
Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams
2000 — conf
Artificial Intelligence in Industry.
PRICAI Workshops
Graham J. Williams, Dickson Lukose
2000 J jnl
Mining taxation data with parallel BMARS.
Parallel Algorithms Appl.
Sergey Bakin, Markus Hegland, Graham J. Williams
2000 A* conf
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms.
KDD
Kenji Yamanishi, Jun'ichi Takeuchi, Graham J. Williams, Peter Milne
2000 C conf
Temporal Data Mining Using Multilevel-Local Polynominal Models.
IDEAL
Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams
1999 B conf
Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries.
PAKDD
Graham J. Williams
1999 — conf
The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project.
Large-Scale Parallel Data Mining
Graham J. Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland, Alonso Marquez, Peter Milne, Rajehndra Nagappan, Stephen G. Roberts
1997 — conf
Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases.
Australian Joint Conference on Artificial Intelligence
Graham J. Williams, Zhexue Huang
1997 — conf
PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks.
Evolutionary Programming
Gerrit Riessen, Graham J. Williams, Xin Yao
1995 J jnl
Templates for Spatial Reasoning in Responsive Geographical Information Systems.
Int. J. Geogr. Inf. Sci.
Graham J. Williams
1993 — conf
Representing Expectations in Spatial Information Systems - A Case Study.
SSD
Graham J. Williams, Steven G. Woods
1989 J jnl
FrameUP: A Frames Formalism for Expert Systems.
Aust. Comput. J.
Graham J. Williams
1987 J jnl
Some Experiments in Decision Tree Induction.
Aust. Comput. J.
Graham J. Williams