To register for this conference please register at the AI 2004 conference web site.

Visit the list of accepted papers and the proceedings.

The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners. We are usually seeking from the Data Mining and Business Analytics community reports on issues around Implementations of Data Mining Algorithms in addition to updates of research and progress in the local context, new breakthroughs in data mining algorithms and their applications. In addition, this year the Australasian Data Mining Conference is looking specifically at demonstrations of original data mining solutions and working prototypes!

Data mining projects involve both the utilisation of established algorithms frommachine learning, statistics, database systems and information visulaisation, and the development of new methods and algorithms, targeted at large data mining problems. Nowadays data mining efforts have gone beyond crunching databases of credit card usage or stored transaction records. They have been focusing on data collected in the health care system, art, design, medicine and biology and other areas of human endeavour.

AusDM02 and AusDM03 brought together researchers and industry practitioners from different data mining groups in Australia and the region, providing a forum for presenting and discussing their latest research and development in the area. AusDM04 continues this tradition of facilitating the cross-disciplinary exchange of ideas, experience and potential research directions.

Publication

As with the previous conferences all papers will go through a blind peer-review by a panel of international experts and selected ones will be published in a proceedings volume for the conference. Revised papers may be published, with negotiations under way with Springer-Verlag, as a collected volume in the Lecture Notes in Computer Science series.

Topics of interest

The major topics of the conference include but are not limited to

• Issues around Implementations of Data Mining Algorithms
• Data mining methods and algorithms
• Integrating data sets
• High performance computing and data mining
• Infrastructure for data mining
• Health Data Mining
• Financial data mining
• Spatial and temporal data mining
• Multimedia and web data mining
• Data mining in design computing
• Data mining in e-Business environments and virtual communities
• Network and process mining
• Real world applications and case studies - lessons and experiences
• Data mining in Bioinformatics
• Visualisation techniques for Visual Data Mining
• Integrating domain knowledge
• Embeded data mining technologies
• Research and professional challenges in Data Mining
• Data mining techniques in qualitative research
• Data cleaning and data linking

We encourage submissions of `greenhouse' work, which present early stages of cutting-edge research and development. Software demonstrations are also welcome. The format of the conference will accommodate full paper presentations and short presentations about a work in progress, overview of a data mining group or software demonstration.

Submission

The length of the submissions is not restricted. We encourage submissions of 10-15 pages. The first page of your submission should include the paper title; author name(s) and affiliation, address, email; keywords; and abstract. Electronic submissions in either PDF, PS, RTF or Microsoft Word Document format are preferable. Please, e-mail electronic submissions to simeon@it.uts.edu.au with subject "AusDM04 Submission".

Important Dates

Organisers

Simeon J Simoff	University of Technology, Sydney
Graham J Williams	Australian Taxation Office

Program Committee

Mihael Ankerst	Boeing Corp
Michael Bain	University of New South Wales
Rohan Baxter	Australian Taxation Office
Helmut Berger	University of Technology, Sydney
Michael Bohlen	Free University Bolzano-Bozen, Italy
Jie Chen	CSIRO, Canberra
Peter Christen	Australian National University
Thanh-Nghi Do	Can Tho University, Vietnam
Vladimir Estivill-Castro	Giffith University
Hongjian Fan	University of Melbourne
Eibe Frank	Waikato Univesity
Warwick Graco	Australian Taxation Office
Lifang Gu	CSIRO, Canberra
Tony Jan	University of Technology, Sydney
Warren Jin	CSIRO, Canberra
Paul Kennedy	University of Technology, Sydney
Weiqiang Lin	Australian Taxation Office
John Maindonald	Australian National University
Mohamed Medhat Gaber	Monash University
Mark Norrie	Teradata, NCR
Robert Pearson	Health Insurance Commission
Francois Poulet	ESIEA-Pole ECD, Laval, France
Greg Saunders	University of Ballarat
David Skillicorn	Queen's University, Canada
John Yearwood	University of Ballarat
Osmar Zaiane	University of Alberta, Canada

Further information from simeon@it.uts.edu.au or Graham.Williams@togaware.com.