CFP

ADM02 - The Australasian Data Mining Workshop

2 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/)

Paper submission due 1st October, 2002.

Workshop Website: http://datamining.csiro.au/adm02/

ADM02 - The Australasian Data Mining Workshop

2 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/)

Paper submission due 1st October, 2002.

Workshop Website: http://datamining.csiro.au/adm02/ Workshop contact: simeon@it.uts.edu.au Workshop Date: 3 December, 2002

Workshop organisers: Simeon J. Simoff (simeon@it.uts.edu.au) Graham J Williams (Graham.Williams@csiro.au) Markus Hegland (Markus.Hegland@anu.edu.au)

- 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.

For more details, please, visit the workshop website. Workshop Date: 3 December, 2002

Workshop organisers: Simeon J. Simoff (simeon@it.uts.edu.au) Graham J Williams (Graham.Williams@csiro.au) Markus Hegland (Markus.Hegland@anu.edu.au)

- 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.

For more details, please, visit the workshop website.