Togaware: Publications on the following topics are included:

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 .

2007

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

Denny, Graham Williams, Peter Christen.

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.

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.

Methodology for Mining Data Streams in Health

Graham Williams, Huidong Jin, Jie Chen, Hongxing He, Damien
In preparation, 2004.

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.

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

The Design of Decision Support Systems as Federated Information Systems

D. J. Abel, K. L. Taylor, G. C. Walker, and G. J. 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

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
1989, Volume 21, Number 1, Pages 33-40

1988

Combining Decision Trees: Initial results from the MIL algorithm

Graham Williams
Artificial Intelligence Developments and Applications
edited by J. S. Gero and R. B. Stanton
Elsevier Science Publishers
1988, Pages 273-289

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

Graham Williams
Australian Computer Journal
1987, Volume 19, Number 2, Pages 84-91

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
Avignon, France, 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