Publications on the following topics are included:

  • Data Science, Data Mining and Machine Learning
  • Open Source, R and GNU/Linux
  • Spatial Reasoning
  • Databases and Legacy Systems
  • Knowledge Representation and Expert Systems

2021 | 2020 | 2018 | 2017 | 2016 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 | 1993 | 1992 | 1991 | 1990 | 1989 | 1988 | 1987 | 1986 | 1985

2021

Development of the COVID-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), Australia
Emma Field, Amalie Dyda, Michael Hewett, Haotian Weng, Jingjing Shi, Stephanie Curtis, Charlee Law, Lisa McHugh, Meru Sheel, Jess Moore, Luis Furuya-Kanamori, Priyanka Pillai, Paul Konings, Michael Purcell, Nigel Stocks, Graham Williams, Colleen Lau. Frontiers in Public Health, 9:753493.doi: 10.3389/fpubh.2021.753493, Nov 2021

Application of differential privacy for public health surveillance data: An innovative tool to optimise information sharing while protecting data confidentiality
Amalie Dyda, Michael Purcell, Stephanie Curtis, Emma Field, Priyanka Pillai, Kieran Ricardo, Haotian Weng, Graham Williams, Jessica Moore, Michael Hewett, Colleen Lau. Pattern, 2021

2020

CRISPER: COVID-19 Real-Time Information System for Preparedness and Epidemic Response
Australasian COVID-19 Virtual Conference
Colleen Lau, Emma J Field, Michael Hewett, Priyanka Pillai, Kieran Ricardo, Luis Furuya-Kanamori, Stephanie Curtis, Nelson Lau, Meru Sheel, Lisa McHugh, Olivia Williams, Charlee J Law, Paul Konings, Ross Andrews, Nigel Stocks, Michael Purcell, Jess Moore, Graham Williams
Public Health Association, Australia, 2020.

2018

Data Mining
15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017
Revised Selected Papers,
Yee Ling Boo, David Stirling, Lianhua Chi, Lin Liu, Kok-Leong Ong, Graham Williams
Springer, Communications in Computer and Information Science, Volume 845
Available from Springer, May 2018

2017

The Essentials of Data Science: Knowledge discovery using R
Graham J. Williams
Chapman & Hall/CRC The R Series ISBN-10: 1138088633
Available from Amazon, August 2017, 342pp
WSRF: An R package for classification with scalable weighted subspace random forests
He Zhao, Graham J. Williams, Joshua Zhexue Huang
Journal of Statistical Software, Volume 77, Issue 1, 2017, pp

2016

Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data
He Zhao, Xiaojun Chen, Tung Nguyen, Joshua Zhexue Huang, Graham J. Williams, Hui Chen
Pacific-Asia Workshop on Intelligence and Security Informatics PAISI 2016
Intelligence and Security Informatics
Lecture Notes in Copmuter Science, Volume 9650, pp 63-72

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
18th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD 2014
Lecture Notes in Computer Science, Volume 8444, May 2014, pp 247-258
Ensemble Clustering of High Dimensional Data with FastMap Projection
Imran Khan, Joshua Zhexue Huang, Nguyen Thanh Tung, Graham J. Williams
Trends and Applications in Knowledge Discovery and Data Mining, Lecture Notes in Computer Science, Nov 2014, pp 483-493
Available from the Publisher.
Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives
Zhi-Hua Zhou, Nitesh V. Chawla, Yaochu Jin, and Graham J. Williams
IEEE Computational Intelligence Magazine, Nov 2014
Outstanding Paper Award for 2014 (bestowed 2017)
Available locally.

2013

Special Issue on Behavior Computing
Longbing Cao, Philip S. Yu, Hiroshi Motoda, Graham J. Williams
Knowledge and Information Systems, 37(2): 245-249, November 2013.
Available from the Publisher.

2012

Ensembles and model delivery for tax compliance.
Graham J. Williams
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, Beijing, Pages 1003-1003
Available from the Publisher.
Hybrid Weighted Random Forests for Classifying Very High-Dimensional Data
Baojun Xu, Joshua Z. Huang, Graham J. Williams, Yunming Ye
Submitted March 2012
Available locally.
Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data
Baojun Xu, Joshua Z. Huang, Graham J. Williams
PAKDD 2012
Available locally.
Rattle and Other Data Mining Tales
Graham Williams
in Journeys to Data Mining Experiences of 15 Renowned Scientists
Mohamed Medhat Gaber (Ed.)
Springer, 2012, ISBN 978-3-642-28046-7

Available locally and from the Publisher.
Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces
Baojun Xu, Joshua Zhexue Huang, Graham J. Williams, Qiang Wang, Yunming Ye
International Journal of Data Warehousing and Mining, 8(2), March 2012.
Available locally.
Analysis of Cluster Migrations Using Self-Organizing Maps
Denny, Peter Christen, Graham Williams
Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012),
Longbing Cao (Editor), Springer-Verlag, Berlin Germany, p. 12.
Topic Oriented Community Detection through Social Objects and Link Analysis in Social Networks
Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Z. Huang, Graham J. Williams, Jianping Fan
Knowledge-Based Systems, 26:164-173, February 2012.
Available from the Publisher .

2011

Data Mining with Rattle and R. The Art of Excavating Data for Knowledge Discovery.
Graham Williams
Springer-Verlag. DOI: 10.1007/978-1-4419-9890-3
Available from Amazon
Earlier and extended version available on Togaware.

2010

Visualizing Temporal Cluster Changes using Relative Density Self-Organizing Maps (ReDSOM)
Denny, Graham Williams, Peter Christen
Knowledge and Information Systems, 25(2):281, 2010.
Available locally and from the Publisher.
New Frontiers in Applied Data Mining
Thanaruk Theeramunkong, Cholwich Nattee, Paulo J.L. Adeodato, Nitesh Chawla, Peter Christen, Philippe Lenca, Josiah Poon and Graham Williams
Lecture Notes in Computer Science
Volume 5669, September 2010, Springer-Verlag. ISBN: 3-642-14640-4

2009

Rattle: A Data Mining GUI for R
Graham Williams
The R Journal, 1(2):45-55, December 2009.
Available locally and from the Journal.
PMML: An Open Standard for Sharing Models.
Wen-Ching Lin Alex Guazzelli, Michael Zeller and Graham Williams
The R Journal, 1(1):60-65, May 2009.
Available locally and from the Journal.

2008

ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures using Self-Organizing Maps
Denny, Graham Williams, Peter Christen
Proceedings of the 8th IEEE International Conference on
Data Mining (ICDM08) Pisa, Italy, December 2008.

Available locally.
Mining Unexpected Temporal Association: Applications in Detecting Adverse Drug Reactions
Huidong Jin, Jie Chen, Hongxing He, Graham Williams, Chris Kelman, Christine O’Keefe
IEEE Transactions on Information Technology in Biomedicine
Vol 12, No. 4, July 2008. Available locally.
Exploratory Hot Spot Profile Analysis using Interactive Visual Drill-Down Self-Organizing Maps
Denny, Graham Williams, Peter Christen.
Proceedings of the 12th Pacific Asia Conference on
Knowledge Discovery and Data Mining (PAKDD08)
Osaka, Japan, May 2008. Lecture Notes in Computer Science.

Available locally.

2007

DDDM2007: Domain Driven Data Mining.
Longbing Cao, Chengqi Zhang, Yanchang Zhao Philip S. Yu, Graham J. Williams
SIGKDD Explorations 9(2): 84-86 (2007)
Available from the Publisher.
Exploratory multilevel hot spot analysis: Australian Taxation Office case study.
Denny, Graham Williams, Peter Christen.
Proceedings of the Australasian Data Mining Conference, CRPIT Volume 70
AusDM07, Gold Coast, Australia, December 2007.
Available locally.
Open Source Data Mining Systems
Xiaojun Chen, Graham Williams, and Xiaofei Xu
Proceedings of the 11th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD07).
Nanjing, China, May 2007
Lecture Notes in Computer Science
Available locally.

2006

Mining Multiple Models
Graham Williams
Contributions To Probability And Statistics: Applications and Challenges
Proceedings of the International Statistics Workshop
University of Canberra 4 – 5 April 2005
Available locally.
Neighborhood Density Method for Selecting Initial Cluster Centers in K-means Clustering
Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham Williams
Proceedings of the 10th Pacific Asia Conference on
Knowledge Discovery and Data Mining (PAKDD06)

Lecture Notes in Computer Science, Volume 3918, pp 189–198, 2006.
Frequency-based Rare Events Mining in Administrative Health Data
Jie Chen, Huidong Jin, Hongxing He, Christine M. O’Keefe, Ross Sparks, Graham Williams, Damien McAullay, Chris Kelman
electronic Journal of Health Informatics
2006; Vol 1 (1): e4.
Available locally
Identifying Risk Groups Associated with Colorectal Cancer
Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham Williams, and Chris Kelman
in Data Mining: Theory, Methodology, Techniques, and Applications
Graham Williams and Simeon Simoff (editors)
Lecture Notes in Computer Science
Volume 3755, Jan 2006, Springer-Verlag. ISBN: 3-540-32547-6
Data Mining: Theory, Methodology, Techniques, and Applications
Graham Williams and Simeon Simoff (editors)
State-of-the-Art Survey, Lecture Notes in Artificial Intelligence
Volume 3755, Jan 2006, Springer-Verlag. ISBN: 3-540-32547-6

2005

Proceedings of the 4th Australasian Data Mining Conference
Simeon Simoff, Graham Williams, John Galloway and Inna Kolyshkina (editors)
University of Technology, Sydney, December 2005, ISBN 1-86365-716-9.
Mining Risk Patterns in Medical Data
Jiuyong Li, Ada Wai-chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham Williams, Ross Sparks, Chris Kelman.
The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD05), Industrial and Government Track
Chicago, Illinois, USA 21-24 August 2005
Available locally.
Representing Association Classification Rules Mined from Health Data
Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAully, Graham Williams, Ross Sparks, Chris Kelman
9th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES2005)
Melbourne, Australia, 14-16 September 2005
Available locally as is a longer version.
Frequency-Based Temporal Pattern Mining in Health Data
Jie Chen, Huidong Jin, Hongxing He, Christine O’Keefe, Ross Sparks, Graham Williams, Damien McAully, Chris Kelman
Australian Research Council Workshop on Health Data Mining (HDM05)
Adelaide, South Australia, 11 April 2005
Available locally.

2004

Proceedings of the 3rd Australasian Data Mining Workshop
Simeon J. Simoff, Graham Williams (editors)
Canberra, Australia, December 2004
Published by University of Technology, Sydney, ISBN 0-9751724-1-7
Conference web page: AusDM04
Exploratory Health Data Mining: Identifying Factors Associated with Colorectal Cancer
Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham Williams, Chris Kelman
3rd Australasian Data Mining Workshop
Cairns, Australia, December 2004
CTAN Plans: The Comprehensive TeX Archive Network
Robin Fairbairns, Jim Hefferon, Rainer Schoepf, Joachim Schrod, Graham Williams, Reinhard Zierke
TUGboat Volume 24 (2004), No. 2
Die TeXnische Komodie Volume 16 (3), November 2004
On-line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
Kenji Yamanishi, Jun-ichi Takeuchi, Graham Williams, Peter Milne
International Journal of Data Mining and Knowledge Discovery
Volume 8, Number 3, 2004, Pages 275-300, May 2004.
Available locally.
Temporal Sequence Associations for Rare Events
Jie Chen, Hongxing He, Graham Williams, Huidong Jin
Proceedings of the 8th Pacific Asia Conference on
Knowledge Discovery and Data Mining (PAKDD04)

Available locally.
A new method of “pharmaco-vigilance” for automatically identifying Adverse Drug Reactions (ADRs) in large populations.
Simon Hawkins, Graham Williams, Hongxing He, Lifang Gu, Jiuyong Li, Chris Kelman.
Medinfo, 2004
Available locally.
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences
Hongxing He, Graham Williams, Jie Chen, Simon Hawkins.
Submitted, 2004.
A Stock Flow Model for Health Care Workforce Prediction.
Houyuan Jiang, Hongxing He, Graham Williams, Lifang Gu, Rohan Baxter.
Fourth IMA International Conference on Quantitative Modelling
in the Management of Healthcare
University of Salford, UK, April 2004.
QLDS: Adverse drug reaction detection towards automation.
Graham Williams, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Ross Sparks, Jisheng Cui, Simon Hawkins, and Chris Kelman.
Technical Report CMIS 04/91, CSIRO Mathematical and Information Sciences, Canberra, 2004.
Commonwealth Administrative Health Data Mining using Debian GNU/Linux.
Graham Williams
Linux and Open Source in Government, Australian Linux Conference, January 2004.
Available locally.

2003

Mining the Data Stream.
Graham Williams
Invited Plenary, International Conference on Hybrid Intelligent Systems
Melbourne, Australia, December 2003.
Available locally.
Proceedings of the 2nd Australasian Data Mining Workshop
Simeon J. Simoff, Graham Williams, Markus Hegland (editors)
Canberra, Australia, December 2003
Published by University of Technology, Sydney, ISBN 0-9751724-1-7
Conference web page: AusDM03
Association Rule Discovery with Unbalanced Class Distributions
Lifang Gu, Jiuyong Li, Hongxing He, Graham Williams, Simon Hawkins, Chris Kelman
Proceedings of the 16th Australian Joint Conference on
Artificial Intelligence (AI03) Perth, Australia, December 2004
Lecture Notes in Artificial Intelligence, Springer-Verlag
Available locally.
Temporal Event Mining of Linked Medical Claims Data
Graham Williams, Chris Kelman, Rohan Baxter, Lifang.Gu
Simon Hawkins, Hongxing He, Chris Rainsford, Deanne Vickers
Proceedings of the PAKDD03 Workshop on
Data Mining for Actionable Knowledge DMAK-2003
Seoul, Korea, April 2003, pages 82-95
Available locally.

2002

Estimating Episodes of Care using Linked Medical Claims Data
Graham Williams, Rohan Baxter, Chris Kelman, Chris Rainsford, Hongxing He
Lifang.Gu, Deanne Vickers, Simon Hawkins
Proceedings of the 15th Australian Joint Conference on
Artificial Intelligence (AI02) Canberra, Australia, December 2002
Lecture Notes in Artificial Intelligence, Volume 2557, Springer-Verlag
Pages 660-671, ISBN3-540-00197-2
Available locally.
Proceedings of the 1st Australian Data Mining Workshop
Simeon J. Simoff, Graham Williams, Markus Hegland (editors)
Canberra, Australia, December 2002
Published by University of Technology, Sydney, ISBN 0-9750075-0-5
Conference web page: AusDM02
An Overview of Temporal Data Mining
Weiqiang Lin, Mehmet A Orgun, Graham Williams
Proceedings of the 1st Australian Data Mining Workshop (AusDM02)
Canberra, Australia, December 2002
Editted by Simeon J. Simoff, Graham Williams, Markus Hegland
Published by University of Technology, Sydney, Pages 83-90, ISBN 0-9750075-0-5
Available locally.
A Comparative Study of Replicator Neural Networks for Outlier Detection in Data Mining
Graham Williams, Rohan Baxter, Hongxing He
Simon Hawkins, Lifang.Gu
Proceedings of the 2nd IEEE International Conference on
Data Mining (ICDM02) Maebashi City, Japan, December 2002
Pages 709–712, ISBN 0-7695-1754-4
Extended technical report CSIRO CMIS 02/102 available locally.
Available locally.
Outlier Detection Using Replicator Neural Networks
Simon Hawkins, Hongxing He, Graham Williams, Rohan Baxter
Proceedings of the 4th International Conference on
Data Warehousing and Knowledge Discovery (DaWaK02)
Lecture Notes in Computer Science, Vol 2454, Springer, 2002
Pages 170-180, ISBN 3-540-44123-9
Available locally.
Mining Temporal Patterns from Health Care Data
Weiqiang Lin, Mehmut Orgun, Graham Williams
Proceedings of the 4th International Conference on
Data Warehousing and Knowledge Discovery (DaWaK02)
Lecture Notes in Computer Science, Vol 2454, Springer, 2002
Pages 221-231, ISBN 3-540-44123-9
Available locally.

2001

Artificial Intelligence in Industry
Graham Williams and Dickson Luckose
in Advances in Artificial Intelligence
Lecture Notes in Computer Science, Volume 2112, Springer, 2001.
pp 3-4, ISBN 3540425977
Advances in Artificial Intelligence
Ryszard Kowalczyk, Seng Wai Loke, Nancy Reed, Graham Williams
Workshop Reader: Four Workshops held at PRICAI00
Melbourne, Australia, August 2000, Revised Papers
Lecture Notes in Computer Science, Volume 2112, Springer, 2001.
ISBN 3540425977
Feature Selection for Pathology Laboratory Monitoring
Simon Hawkins, Graham Williams, Rohan Baxter
Topics in Health Information Management
Volume 22 Number 1, August 2001, Pages 14-23
Advances in Knowledge Discovery and Data Mining
David Cheung, Graham Williams, Qing Li
Proceedings of the 5th Pacific Asia Conference on
Knowledge Discovery and Data Mining (PAKDD01)
Hong Kong, China, April 2001
Lecture Notes in Artificial Intelligence, Volume 2035, Springer.
ISBN 3540419101
Feature Selection for Temporal Health Records
Rohan Baxter, Graham Williams, Hongxing He
Advances in Knowledge Discovery and Data Mining
Editted by David Cheung, Graham Williams, Qing Li
Lecture Notes in Artificial Intelligence, Volume 2035, Springer, April 2001
Proceedings of the 5th Pacific Asia Conference on
Knowledge Discovery and Data Mining (PAKDD01)
Hong Kong, China, April 2001
Available from springer.de and locally.
Temporal Data Mining Using Hidden Markov-Local Polynomial Models
Weiqian Lin, Mehmet Orgun, Graham Williams
Advances in Knowledge Discovery and Data Mining
Editted by David Cheung, Graham Williams, Qing Li
Lecture Notes in Artificial Intelligence, Volume 2035, Springer, April 2001
Proceedings of the 5th Pacific Asia Conference on
Knowledge Discovery and Data Mining (PAKDD01)
Hong Kong, China, April 2001
Available from springer.de and locally.
Data Mining of Administrative Claims Data for Pathology Services
Simon Hawkins, Graham Williams, Rohan Baxter, Peter Christen, Michael Fett
Markus Hegland, Fuchun Huang, Ole Nielsen, Tatiana Semanova, Andrew Smith
Hawaii International Conference on System Sciences (HICSS-35)
Workshop on Data Mining in Health
January 2001, Hawaii, USA
Available from computer.org

2000

Temporal Data Mining using Multi-Level Local Polynomial Models
Weiqiang Lin, Mehmet Orgun, Graham Williams
Proceedings of the 2nd International Conference on
Intelligent Data Engineering and Automated Learning (IDEAL00)
Lecture Notes in Computer Science, Volume 1983, Springer
Hong Kong, December 2000
On-line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
Kenji Yamanishi, Jun-ichi Takeuchi, Graham Williams, Peter Milne
Proceedings of the 6th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD00)
Boston, MA, August 2000
Available locally and from acm.org
Artificial Intelligence in Industry
Dickson Lukose, Graham Williams
Proceedings of the Symposium on the
Application of Artificial Intelligence in Industry
Melbourne, Australia, August 2000
ISBN 0730027937
Mining Taxation Data with Parallel BMARS
Sergey Bakin, Markus Hegland, and Graham Williams
Parallel Algorithms and Applications
Vol 15, pp 37-55, May 2000
Available locally.
The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project
Graham Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland,
Alonso Marquez, Peter Milne, Rajehndra Nagappan, and Stephen Roberts
In Large-Scale Parallel Data Mining, State-of-the-Art Survey
Editted by Mohammed J. Zaki and Ching-Tien Ho
Lecture Notes in Artificial Intelligence, Volume 1759
Springer-Verlag, 2000

1999

An Overiew of ACSys Data Mining
Graham Williams invited presentation to the
Computational Techniques and Applications Conference and Workshops (CTAC99)
Canberra, September 1999
Available locally
Integrated Delivery of Data Mining
Graham Williams
International Workshop on Large-Scale Parallel
Knowledge Discovery and Data Mining Systems (KDD99)
San Diego, August 1999
Evolutionary Hot Spots Data Mining
Graham Williams
Proceedings of the 3rd Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD99)
Beijing, April 1999
Available locally
Design of Decision Support Systems as Federated Information Systems
D. J. Abel, Kerry Taylor, Gavin Walker, and Graham Williams
Decision Support Systems for Sustainable Development
Edited by Kersten, Mikolajuk, and Yeh
Kluwer Academic Publishers, 1999

1998

Data Mining Tutorial
Graham Williams
SEAL98
Canberra, November 1998
Available locally
Evolvolutionary Techniques in Data Mining Interestingness
Graham Williams
Workshop on Evolutionary Computation
Canberra, October 1998
To What Extent can Data Mining be Proceduralised
Graham Williams
Panel Discussion
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD98)
Melbourne, April 1998.
Availabl locally
High Performance Data Managment Issues in Data Mining
Graham Williams
Presented to the Workshop on Parallel and Distributed Data Mining
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD98)
Melbourne, April 1998.
Available locally

1997

Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases
Graham Williams, Zhexue Huang
Advanced Topics in Artificial Intelligence
Lecture Notes in Artificial Intelligence, Volume 1342, Springer, 1997
Pages 340–348
Available locally
PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks
Gerrit A. Riessen, Graham Williams, Xin Yao
Sixth Annual Conference On Evolutionary Programming (EP97)
Indianapolis
Available locally

1996

A Case Study in Knowledge Acquisition for Insurance Risk Assessment using a KDD Methodology
Graham Williams and Zhexue Huang
Pacific Rim Knowledge Acquisition Workshop (PKAW96)
October 1996, Sydney, Australia
Available locally
PEPNet: Parallel Evolutionary Artificial Neural Networks
Gerrit Riessen, Xin Yao, Zhexue Huang, Peter Milne, and Graham Williams
Proceedings of the 5th Australian Conference on
Neural Networks (ACNN96)
Available as a poster and abstract
KDD for Insurance Risk Assessment
Graham Williams and Zhexue Huang
CSIRO DIT Data Mining Technical Report TR-DM-96014
March 1996
Available locally
Modelling the KDD Process
Graham Williams and Zhexue Huang
CSIRO DIT Data Mining Technical Report TR-DM-96013
February 1996
Available locally

1995

Templates for Spatial Reasoning in Responsive GIS
Graham Williams
International Journal of Geographical Information Systems
1995, Volume 9, Number 2, Pages 117-131
Available locally
The Design of Decision Support Systems as Federated Information Systems
D. J. Abel, K. L. Taylor, G. C. Walker, and Graham Williams
Proceedings of the Decision Support Systems for Developing Nations.
Taiwan. December 1995.

1994

The Virtual Database: A Tool for Migration from Legacy LIS
D. J. Abel, B. C. Ooi, R. A. Power, K.-L. Tan, G. J. Williams, and X. Zhou
In Proceedings of the 22nd Annual Conference of the Australian Urban and Regional Information Systems Association AURISA ’94
Sydney, Australia, 1994

1993

The Virtual Database
David J. Abel, Beng Chin Ooi, Robert A. Power, Kian-Lee Tan, Graham Williams, and Xiafang Zhou
In Proceedings of the 21st Annual Conference of the Australian Urban and Regional Information Systems Association AURISA ’93
Sydney, Australia, 1993
Representing expectations in spatial information systems.
Graham Williams and Steve G. Woods
Advances in Spatial Databases: Third International Symposium, SSD ’93
Edited by D. J. Abel and B. C. Ooi
Lecture Notes in Computer Science, Volume 692, Springer-Verlag, 1993

1990

Inducing and Combining Multiple Decision Trees
Graham Williams
PhD Thesis, Australian National University
Canberra, Australia, 1990
Available locally

1989

FrameUp: A frames formalism for expert systems
Graham Williams
Australian Computer Journal
Volume 21, Number 1, February 1989, Pages 33-40
Available locally

1988

Combining Decision Trees: Initial results from the MIL algorithm
Graham Williams
Artificial Intelligence Developments and Applications
Selected papers from the first Australian
Joint Artificial Intelligence Conference,
Sydney, Australia, 2-4 November, 1987
edited by J. S. Gero and R. B. Stanton
North-Holland, Elsevier Science Publishers
1988, Pages 273-289
Available locally
The Design of Expert Systems for Environmental Management
J. Richard Davis, Paul M. Nanninga and G. J. Williams
Readings in Australian Geography
Proceedings of the 21st IAG Conference
Perth, Australia, 1988

1987

Some Experiments in Decision Tree Induction
G. J. Williams
Australian Computer Journal
1987, Volume 19, Number 2, Pages 84-91.
Selected papers from the Tenth Australian Computer Science Conference.
Available locally.

1986

GEM: A Micro-Computer Based Expert System for Geographic Domains
Graham Williams, J. Richard Davis and Paul M. Nanninga
Proceedings of the Sixth International Workshop and Conference on
Expert Systems and Their Applications
Winner: Best student paper

Avignon, France, 1986.
Available locally together with the actual rule base.
Deficiencies of Expert Systems and Attempts at Improvement: A Survey
Graham Williams
Proceedings of the Ninth Australian Computer Science Conference ACSC9
Australian National University, 1986

1985

Geographic Expert Systems for Resource Management
J. Richard Davis, Paul M. Nanninga and G. J. Williams
Proceedings of the First Australian Conference on Applications of Expert Systems
Sydney, Australia, 1985
Final Report on the Development of an Expert System for Fire Management in Kakadu National Park, NT
J. Richard Davis, Paul M. Nanninga and G. J. Williams
CSIRO Division of Water and Land resources
June 1985. Available locally.