Graham J. Williams

According to our database, Graham J. Williams authored at least 53 papers between 1987 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reproducibility Debt: Challenges and Future Pathways.

Zara Hassan, Christoph Treude, Michael Norrish, Graham J. Williams, Alex Potanin

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

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., March, 2023

TRIC: A Triples Corrupter for Knowledge Graphs.

Asara Senaratne, Pouya Ghiasnezhad Omran, Peter Christen, Graham J. Williams

Proceedings of the Semantic Web: ESWC 2023 Satellite Events - Hersonissos, Crete, Greece, May 28, 2023

Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data.

Asara Senaratne, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran

Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023

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

Unsupervised Anomaly Detection in Knowledge Graphs.

Subudhi Asara Senaratne, Pouya Ghiasnezhad Omran, Graham J. Williams, Peter Christen

Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

2016

Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data.

He Zhao, Xiaojun Chen, Thanh-Tung Nguyen, Joshua Zhexue Huang, Graham J. Williams, Hui Chen

Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

2014

Extensions to Quantile Regression Forests for Very High-Dimensional Data.

Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Ensemble Clustering of High Dimensional Data with FastMap Projection.

Imran Khan, Joshua Zhexue Huang, Nguyen Thanh Tung, Graham J. Williams

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

2013

Special issue on behavior computing.

Longbing Cao, Philip S. Yu, Hiroshi Motoda, Graham J. Williams

Knowl. Inf. Syst., 2013

2012

Topic oriented community detection through social objects and link analysis in social networks.

Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan

Knowl. Based Syst., 2012

Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces.

Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Qiang Wang, Yunming Ye

Int. J. Data Warehous. Min., 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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Rattle and Other Data Mining Tales.

Graham J. Williams

Proceedings of the Journeys to Data Mining, 2012

2011

Analysis of Cluster Migrations Using Self-Organizing Maps.

Denny, Peter Christen, Graham J. Williams

Proceedings of the New Frontiers in Applied Data Mining, 2011

2010

Visualizing temporal cluster changes using Relative Density Self-Organizing Maps.

Denny, Graham J. Williams, Peter Christen

Knowl. Inf. Syst., 2010

2009

Rattle: A Data Mining GUI for R.

Graham J. Williams

R J., 2009

PMML: An Open Standard for Sharing Models.

Alex Guazzelli, Michael Zeller, Wen-Ching Lin, Graham J. Williams

R J., 2009

2008

Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions.

Huidong Jin, Jie Chen, Hongxing He, Graham J. Williams, Chris Kelman, Christine M. O'Keefe

IEEE Trans. Inf. Technol. Biomed., 2008

Exploratory Hot Spot Profile Analysis Using Interactive Visual Drill-Down Self-Organizing Maps.

Denny, Graham J. Williams, Peter Christen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps.

Denny, Graham J. Williams, Peter Christen

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

A Survey of Open Source Data Mining Systems.

Xiaojun Chen, Yunming Ye, Graham J. Williams, Xiaofei Xu

Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study.

Denny, Graham J. Williams, Peter Christen

Proceedings of the Data Mining and Analytics 2007, 2007

2006

Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering.

Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Identifying Risk Groups Associated with Colorectal Cancer.

Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham J. Williams, Chris Kelman

Proceedings of the Data Mining - Theory, Methodology, Techniques, and Applications, 2006

2005

Representing Association Classification Rules Mined from Health Data.

Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Mining risk patterns in medical data.

Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

A Delivery Framework for Health Data Mining and Analytics.

Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin

Proceedings of the Computer Science 2005, 2005

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

Conceptual Mining of Large Administrative Health Data.

Tatiana Semenova, Markus Hegland, Warwick Graco, Graham J. Williams

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Temporal Sequence Associations for Rare Events.

Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Exploring Possible Adverse Drug Reactions by Clustering Event Sequences.

Hongxing He, Graham J. Williams, Jie Chen, Simon Hawkins, Chris Kelman

Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

2003

Mining the Data Stream.

Graham J. Williams

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Association Rule Discovery with Unbalanced Class Distributions.

Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Williams, Simon Hawkins, Chris Kelman

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002

A Comparative Study of RNN for Outlier Detection in Data Mining.

Graham J. Williams, Rohan A. Baxter, Hongxing He, Simon Hawkins, Lifang Gu

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Mining Temporal Patterns from Health Care Data.

Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams

Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

Outlier Detection Using Replicator Neural Networks.

Simon Hawkins, Hongxing He, Graham J. Williams, Rohan A. Baxter

Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

An Overview Of Temporal Data Mining.

Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams

Proceedings of the 15th Australian Joint Conference on Artificial Intelligence 2002, 2002

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

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

Temporal Data Mining Using Hidden Markov-Local Polynomial Models.

Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams

Proceedings of the Knowledge Discovery and Data Mining, 2001

Feature Selection for Temporal Health Records.

Rohan A. Baxter, Graham J. Williams, Hongxing He

Proceedings of the Knowledge Discovery and Data Mining, 2001

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

Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

2000

Mining taxation data with parallel BMARS.

Sergey Bakin, Markus Hegland, Graham J. Williams

Parallel Algorithms Appl., 2000

Artificial Intelligence in Industry.

Graham J. Williams, Dickson Lukose

Proceedings of the Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader, Four Workshops held at PRICAI 2000, Melbourne, Australia, August 28, 2000

Temporal Data Mining Using Multilevel-Local Polynominal Models.

Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999

Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries.

Graham J. Williams

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

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

Proceedings of the Large-Scale Parallel Data Mining, 1999

1997

PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks.

Gerrit Riessen, Graham J. Williams, Xin Yao

Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases.

Graham J. Williams, Zhexue Huang

Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1995

Templates for Spatial Reasoning in Responsive Geographical Information Systems.

Graham J. Williams

Int. J. Geogr. Inf. Sci., 1995

1993

Representing Expectations in Spatial Information Systems - A Case Study.

Graham J. Williams, Steven G. Woods

Proceedings of the Advances in Spatial Databases, 1993

1989

FrameUP: A Frames Formalism for Expert Systems.

Graham J. Williams

Aust. Comput. J., 1989

1987

Some Experiments in Decision Tree Induction.

Graham J. Williams

Aust. Comput. J., 1987