Some Experiments in Decision Tree Induction. - Graham J. Williams (Aust. Comput. J., 1987)

FrameUP: A Frames Formalism for Expert Systems. - Graham J. Williams (Aust. Comput. J., 1989)

Representing Expectations in Spatial Information Systems - A Case Study. - Graham J. Williams; Steven G. Woods (SSD, 1993)

Templates for Spatial Reasoning in Responsive Geographical Information Systems. - Graham J. Williams (Int. J. Geogr. Inf. Sci., 1995)

Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases. - Graham J. Williams; Zhexue Huang (Australian Joint Conference on Artificial Intelligence, 1997)

PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks. - Gerrit Riessen; Graham J. Williams; Xin Yao 001 (Evolutionary Programming, 1997)

The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project. - Graham J. Williams; Irfan Altas; Sergey Bakin; Peter Christen; Markus Hegland; Alonso Marquez; Peter Milne; Rajehndra Nagappan; Stephen G. Roberts (Large-Scale Parallel Data Mining, 1999)

Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries. - Graham J. Williams (PAKDD, 1999)

Temporal Data Mining Using Multilevel-Local Polynominal Models. - Weiqiang Lin; Mehmet A. Orgun; Graham J. Williams (IDEAL, 2000)

Artificial Intelligence in Industry. - Graham J. Williams; Dickson Lukose (PRICAI Workshops, 2000)

Mining taxation data with parallel BMARS. - Sergey Bakin; Markus Hegland; Graham J. Williams (Parallel Algorithms Appl., 2000)

Data Mining of Administrative Claims Data for Pathology Services. - Simon Hawkins; Graham J. Williams; Rohan A. Baxter; Peter Christen; Michael J. Fett; Markus Hegland; Fuchun Huang; Ole Møller Nielsen; Tatiana Semenova; Andrew Smith (HICSS, 2001)

Feature Selection for Temporal Health Records. - Rohan A. Baxter; Graham J. Williams; Hongxing He (PAKDD, 2001)

Temporal Data Mining Using Hidden Markov-Local Polynomial Models. - Weiqiang Lin; Mehmet A. Orgun; Graham J. Williams (PAKDD, 2001)

Estimating Episodes of Care Using Linked Medical Claims Data. - Graham J. Williams; Rohan A. Baxter; Chris Kelman; Chris P. Rainsford; Hongxing He; Lifang Gu; Deanne Vickers; Simon Hawkins (Australian Joint Conference on Artificial Intelligence, 2002)

An Overview Of Temporal Data Mining. - Weiqiang Lin; Mehmet A. Orgun; Graham J. Williams (AusDM, 2002)

Outlier Detection Using Replicator Neural Networks. - Simon Hawkins; Hongxing He; Graham J. Williams; Rohan A. Baxter (DaWaK, 2002)

Mining Temporal Patterns from Health Care Data. - Weiqiang Lin; Mehmet A. Orgun; Graham J. Williams (DaWaK, 2002)

A Comparative Study of RNN for Outlier Detection in Data Mining. - Graham J. Williams; Rohan A. Baxter; Hongxing He; Simon Hawkins; Lifang Gu (ICDM, 2002)

Association Rule Discovery with Unbalanced Class Distributions. - Lifang Gu; Jiuyong Li; Hongxing He; Graham J. Williams; Simon Hawkins; Chris Kelman (Australian Conference on Artificial Intelligence, 2003)

Mining the Data Stream. - Graham J. Williams (HIS, 2003)

Exploring Possible Adverse Drug Reactions by Clustering Event Sequences. - Hongxing He; Graham J. Williams; Jie Chen 004; Simon Hawkins; Chris Kelman (DaWaK, 2004)

Temporal Sequence Associations for Rare Events. - Jie Chen 004; Hongxing He; Graham J. Williams; Huidong Jin 001 (PAKDD, 2004)

Conceptual Mining of Large Administrative Health Data. - Tatiana Semenova; Markus Hegland; Warwick Graco; Graham J. Williams (PAKDD, 2004)

On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms. - Kenji Yamanishi; Jun'ichi Takeuchi; Graham J. Williams; Peter Milne (Data Min. Knowl. Discov., 2004)

A Delivery Framework for Health Data Mining and Analytics. - Damien McAullay; Graham J. Williams; Jie Chen 004; Huidong Jin 001 (ACSC, 2005)

Mining risk patterns in medical data. - Jiuyong Li; Ada Wai-Chee Fu; Hongxing He; Jie Chen 004; Huidong Jin 001; Damien McAullay; Graham J. Williams; Ross Sparks; Chris Kelman (KDD, 2005)

Representing Association Classification Rules Mined from Health Data. - Jie Chen 004; Hongxing He; Jiuyong Li; Huidong Jin 001; Damien McAullay; Graham J. Williams; Ross Sparks; Chris Kelman (KES (3), 2005)

Identifying Risk Groups Associated with Colorectal Cancer. - Jie Chen 004; Hongxing He; Huidong Jin 001; Damien McAullay; Graham J. Williams; Chris Kelman (Selected Papers from AusDM, 2006)

Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering. - Yunming Ye; Joshua Zhexue Huang; Xiaojun Chen 006; Shuigeng Zhou; Graham J. Williams; Xiaofei Xu (PAKDD, 2006)

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

A Survey of Open Source Data Mining Systems. - Xiaojun Chen 006; Yunming Ye; Graham J. Williams; Xiaofei Xu (PAKDD Workshops, 2007)

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

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

Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. - Huidong Jin 001; Jie Chen 004; Hongxing He; Graham J. Williams; Chris Kelman; Christine M. O'Keefe (IEEE Trans. Inf. Technol. Biomed., 2008)

PMML: An Open Standard for Sharing Models. - Alex Guazzelli; Michael Zeller; Wen-Ching Lin; Graham J. Williams (R J., 2009)

Rattle: A Data Mining GUI for R. - Graham J. Williams (R J., 2009)

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

Analysis of Cluster Migrations Using Self-Organizing Maps. - Denny; Peter Christen; Graham J. Williams (PAKDD Workshops, 2011)

Rattle and Other Data Mining Tales. - Graham J. Williams (Journeys to Data Mining, 2012)

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

Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces. - Baoxun Xu; Joshua Zhexue Huang; Graham J. Williams; Qiang Wang 053; Yunming Ye (Int. J. Data Warehous. Min., 2012)

Topic oriented community detection through social objects and link analysis in social networks. - Zhongying Zhao 001; Shengzhong Feng; Qiang Wang 053; Joshua Zhexue Huang; Graham J. Williams; Jianping Fan 002 (Knowl. Based Syst., 2012)

Special issue on behavior computing. - Longbing Cao; Philip S. Yu; Hiroshi Motoda; Graham J. Williams (Knowl. Inf. Syst., 2013)

Ensemble Clustering of High Dimensional Data with FastMap Projection. - Imran Khan 009; Joshua Zhexue Huang; Nguyen Thanh Tung; Graham J. Williams (PAKDD Workshops, 2014)

Extensions to Quantile Regression Forests for Very High-Dimensional Data. - Nguyen Thanh Tung; Joshua Zhexue Huang; Imran Khan 009; Mark Junjie Li; Graham J. Williams (PAKDD (2), 2014)

Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data. - He Zhao 009; Xiaojun Chen 006; Thanh-Tung Nguyen; Joshua Zhexue Huang; Graham J. Williams; Hui Chen (PAISI, 2016)

Unsupervised Anomaly Detection in Knowledge Graphs. - Subudhi Asara Senaratne; Pouya Ghiasnezhad Omran; Graham J. Williams; Peter Christen (IJCKG, 2021)

Differential privacy for public health data: An innovative tool to optimize information sharing while protecting data confidentiality. - 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 (Patterns, 2021)

Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data. - Asara Senaratne; Peter Christen; Graham J. Williams; Pouya Ghiasnezhad Omran (AAAI Spring Symposium: MAKE, 2023)

TRIC: A Triples Corrupter for Knowledge Graphs. - Asara Senaratne; Pouya Ghiasnezhad Omran; Peter Christen; Graham J. Williams (ESWC (Satellite Events), 2023)

Unsupervised Identification of Abnormal Nodes and Edges in Graphs. - Subudhi Asara Senaratne; Peter Christen; Graham J. Williams; Pouya Ghiasnezhad Omran (ACM J. Data Inf. Qual., 2023)

Reproducibility Debt: Challenges and Future Pathways. - Zara Hassan; Christoph Treude; Michael Norrish; Graham J. Williams; Alex Potanin (SIGSOFT FSE Companion, 2024)

Anomaly Detection and Classification in Knowledge Graphs. - Asara Senaratne; Peter Christen; Pouya Ghiasnezhad Omran; Graham J. Williams (CoRR, 2024)

Characterising reproducibility debt in scientific software: A systematic literature review. - Zara Hassan; Christoph Treude; Michael Norrish; Graham J. Williams; Alex Potanin (J. Syst. Softw., 2025)