Data mining, the art and science of intelligent analysis of (usually large) data sets for meaningful (and previously unknown) insights, is now being actively applied in industries including Financial Services, Government, Insurance, Telecommunications, Retail and Distribution, Transportation, and Utilities. A popular application of data mining across industries is customer analytics, where the goal is to understand customers and better service those customers, whether this is through marketing, stock management, or fraud discovery.

The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. AusDM02, AusDM03, and AusDM04 have showcased research in data mining, providing a forum for presenting and discussing the latest research and developments. A book (Data Mining: Theory, Methodology, Techniques, and Applications) to be published by Springer in their State-of-the-Art Lecture Notes in Artificial Intelligence series, based on research papers from the recent conference, is currently under production.

This years' conference, AusDM05, builds on this tradition of facilitating the cross-disciplinary exchange of ideas, experience and potential research directions, to also explicitly cover advances in the practise of data mining through:

• A Showcase of the Best Industry Case Studies - a special session for industry case studies;
• A Showcase of Research Prototypes - a special session for demonstration of "state-of-the-art" prototypes of data mining and analytics technology;
• An Express Overview of the "State-of-the-art" to Come - a special session for very brief (10 minute) overviews on current research, applications, products.
• A Showcase of Practical Analytics Technology - a series of practical tutorials on a range of data mining techniques with a broad range of data mining tools, delivered by experts in the field.

This years conference will be a meeting place for pushing forward the frontiers of data mining in industry and academia.

Papers

All papers accepted for the conference, following an international call for papers, have gone through will go through a blind, peer-review by a panel of international experts. Accepted papers will be published in the conference proceedings for distribution at the conference. Selected papers will be further revised and extended, for publication in a collected volume to join the first such Volume published by Springer-Verlag, 2005.

Topics of interest

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

• Implementations of Data Mining in Industry
• Evaluation of Results and their Communication
• Infrastructure for Data Mining
• Computational Aspects of Data Mining
• Integrating Domain Knowledge
• Data Preparation, Cleaning And Preprocessing
• Variable Selection and Generation
• Professional Challenges in Data Mining
• Embedded Data Mining Technologies
• New Directions in Data Mining:
• Web Mining
• Text Mining
• Multimedia Mining
• Network and Process Mining
• Spatial and Temporal Data Mining
• Visualisation Techniques for Visual Data Mining
• Applications and Case Studies - Lessons and Experiences
• Health Data Mining
• Financial Data Mining
• e-Business and Virtual Communities
• Qualitative Research
• Design Computing
• Bioinformatics

Registration is open. $550 (including GST) and $275 for students.

Sydney has a wide range of accommodation available. A convenient hotel is the Carlton Crest, which is also the AI05 hotel. See the AI05 Hotel Page for details. Please quote "AI05" to obtain the AI05 conference room rate.

Program Committee

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

Last modified: Thu Nov 24 06:15:06 EST 2005