CFP: AusDM 2012, deadline extended to 31 August 2012

The Tenth Australasian Data Mining Conference (AusDM 2012)
Sydney, Australia
5-7 December 2012
http://ausdm12.togaware.com/

Deadline extended to 31 August 2012

The Australasian Data Mining Conference has established itself as the premier
Australasian meeting for both practitioners and researchers in data mining.
Since AusDM’02 the conference has showcased research in data mining,
providing a forum for presenting and discussing the latest research and
developments. This year’s conference, AusDM’12, co-hosted with the Australian
Joint Conference on Artificial Intelligence, builds on this tradition of
facilitating the cross-disciplinary exchange of ideas, experience and
potential research directions. Specifically, the conference seeks to showcase:
Industry Case Studies; Research Prototypes; Practical Analytics Technology;
and Research Student Projects. AusDM’12 will be a meeting place for pushing
forward the frontiers of data mining in industry and academia.

Publication and topics

We are calling for papers, both research and applications, and from both
academia and industry, for presentation at the conference. All papers will go
through double-blind, peer-review by a panel of international experts.
Accepted papers will be published in an up-coming volume (Data Mining and
Analytics 2012) of the Conferences in Research and Practice in Information
Technology (CRPIT) series by the Australian Computer Society which is also
held in full-text on the ACM Digital Library. We require that at least one
author for each accepted paper will register for the conference and present
their work. Selected papers will be invited to extend to publish in Journal of
Research and Practice in Information Technology.

Topics
– Applications and Case Studies | Lessons and Experiences
– Biomedical and Health Data Mining
– Business Analytics
– Data Integration, Matching and Linkage
– Data Preparation, Cleaning and Preprocessing
– Data Stream Mining
– Evaluation of Results and their Communication
– Link, Graph, Network and Process Mining
– Multimedia Data Mining
– New Data Mining Algorithms
– Privacy-preserving Data Mining
– Spatial and Temporal Data Mining
– Text Mining and Web Mining
– Visual Analytics

Submission of papers

The length of the submissions is not restricted. We encourage submissions of
6-10 pages. We will use a double-blinded review process, i.e. paper
submissions must NOT include authors names or affiliations (and also not
acknowledgements referring to funding bodies). Self-citing references should
also be removed from the submitted papers (they can be added on after the
review) for the double blind reviewing purpose.

Paper submissions are required to follow the general format specified for
papers in the CRPIT series <http://crpit.com/AuthorsSubmitting.html>. LaTeX is
suggested. The electronic submissions should be in PDF and made through the
AusDM’12 Submission Page at <https://www.easychair.org/conferences/?conf=ausdm2012>.

Important Dates

Submission of full papers:              31 August 2012 (extended)
Notification of authors:                1 October 2012
Final version and author registration:  15 October 2012
Conference:                             5-7 December 2012

Organising Committee

Program Chairs
Yanchang Zhao, Department of Immigration & Citizenship, Australia; and RDataMining.com
Jiuyong Li, University of South Australia, Adelaide

Conference Chairs
Peter Christen, Australian National University, Canberra
Paul Kennedy, University of Technology, Sydney

Steering Committee Chairs
Simeon Simoff, University of Western Sydney
Graham Williams, Australian Taxation Office

Other Steering Committee Members
Peter Christen, Australian National University, Canberra
Paul Kennedy, University of Technology, Sydney
Jiuyong Li, University of South Australia, Adelaide
Kok-Leong Ong, Deakin University, Victoria
John Roddick, Flinders University, Adelaide
Andrew Stranieri, University of Ballarat, Ballarat

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About Yanchang Zhao

I am a data miner, using R for data mining applications. My work on R and data mining: RDataMining.com; Twitter; Group on Linkedin; and Group on Google.
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