CALL FOR PAPERS ADM02 - The Australasian Data Mining Workshop
3 December, 2002 in conjunction with the 15th Australian Joint Conference on Artificial Intelligence Canberra - Australia December 2nd - 6th, 2002 (http://www.cs.adfa.edu.au/~abbass/AI02/) Workshop Web site: http://datamining.csiro.au/adm02/ The Australasian Data Mining Workshop is devoted to the art and science of data mining: the 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. Data mining projects involve both the utilisation of established algorithms from machine learning, statistics, and database systems, 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. This workshop aims to bring together researchers and industry practitioners from different data mining groups in Australia and the region and to provide a forum for presenting and discussing their latest research and development in the area. The workshop will facilitate the cross-disciplinary exchange of ideas. A key focus of the workshop will be on the application domains for data mining, including, but certainly not limited to, Health Services Research, Electronic Market Systems, Environmental Research, Financials. TOPICS OF INTEREST The major topics of the workshop include but are not limited to - Data mining methods and algorithms - Data cleaning and data linking - 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 - Data mining in e-Business environments and virtual communities - Applications - lessons and experiences We encourage submissions of `greenhouse' work, which present early stages of a cutting-edge research and development. Software demonstrations are also welcome. The format of the workshop 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 [EMAIL PROTECTED] with subject "ADM02 Submission". Peer-reviewed papers, accepted for presentation at the workshop will be published in the workshop proceedings. Depending on the quality of the papers and presentations, an edited collection of longer contributions, is planned to be published either as a special issue of related journal or as an edited book, under the title "Discovering Data Mining in Australasia". IMPORTANT DATES Submission deadline: 1 October 2002 Notification: 22 October 2002 Camera ready copy: 5 November 2002 Workshop day: 3 December 2002 WORKSHOP ORGANISERS Simeon J. Simoff - University of Technology, Sydney ([EMAIL PROTECTED]) Graham J Williams - CSIRO Canberra ([EMAIL PROTECTED]) Markus Hegland - Australian National University ([EMAIL PROTECTED]) PROGRAM COMMITTEE Sergei Ananyan - Megaputer Intelligence Rohan Baxter - CSIRO Canberra John Debenham - University of Technology, Sydney Vladimir Estivill-Castro - Giffith University Eibe Frank - University of Waikato Paul Kennedy - University of Technology, Sydney Xuemin Lin - University of NSW Warwick Graco - Health Insurance Commision Ole Nielsen - Australian National University Tom Osborn - NUIX Pty Ltd, and The NTF Group Chris Rainsford - CSIRO Canberra John Roddick - Flinders University David Skillicorn - University of Queens Dan Steinberg - Salford Systems REGISTRATION Please, refer to the conference web page for the registration details.
