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12th Australasian Data Mining Conference (AusDM 2014)
Brisbane, Australia
27-28 November 2014
http://ausdm14.ausdm.org/
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Data Mining is the art and science of intelligent analysis of (usually big) data sets for meaningful insights. Data mining is actively applied across all industries including defence, medicine, science, finance, customer relationship management, government, insurance, telecommunications, retail and distribution, transportation, and utilities.

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. Since 2006, all proceedings have been printed as volumes in the CRPIT series.

This year’s conference, AusDM’14 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’14 will be a meeting place for pushing forward the frontiers of data mining in industry and academia. We have lined up an excellent Keynote Speaker program.

Publication and topics
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We are calling for papers, both research and applications, and from both academia and industry, for publication and presentation at the conference. All papers will go through peer-review by a panel of international experts. Accepted papers will be published in an upcoming volume (Data Mining and Analytics 2014) 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. The proceeding in electronic version will be distributed at the conference. For more details on CRPIT please see http://www.crpit.com.

This year we are introducing a new track “Industry Showcase” for industry participants to present the state-of-the-art analytics projects. These submissions can be of non-academic-publication style and will be for presentation only. These case studies and data mining experiences will not be included in the conference proceeding.

Please note that we require that at least one author for each accepted paper will register for the conference and present their work.

AusDM invites contributions addressing current research in data mining and knowledge discovery as well as experiences, novel applications and future challenges. Topics of interest include, but are not restricted to:

– Applications and Case Studies | Lessons and Experiences
– Big Data Analytics
– Biomedical and Health Data Mining
– Business Analytics
– Computational Aspects of Data Mining
– Data Integration, Matching and Linkage
– Data Mining Education
– Data Mining in Security and Surveillance
– Data Preparation, Cleaning and Preprocessing
– Data Stream Mining
– Evaluation of Results and their Communication
– Implementations of Data Mining in Industry
– Integrating Domain Knowledge
– Link, Tree, Graph, Network and Process Mining
– Multimedia Data Mining
– New Data Mining Algorithms
– Professional Challenges in Data Mining
– Privacy-preserving Data Mining
– Social Network and Social Media Mining
– Spatial and Temporal Data Mining
– Text Mining
– Visual Analytics
– Web Mining and Personalization

Submission of papers
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We invite three types of submissions for AusDM 2014:

– Research Track:
Normal academic submissions reporting on research progress, with a paper length of between 8 and 12 pages in CRPIT style, as detailed below. For academic submissions we will use a double-blinded review process, i.e. paper submissions must NOT include authors names or affiliations or acknowledgments referring to funding bodies. Self-citing references should also be removed from the submitted papers for the double blind reviewing purpose. These information can be added on after the review.

– Application Track:
Submissions on specific data mining implementations and experiences in government and industry settings. Submissions in this category can be between 4 and 8 pages in CRPIT style, as detailed below. A committee made of mix of academic and industry representatives will review these submissions.

– Industry Showcase:
Submissions in this track are presentation only. In this track, government and industry participants can present the case studies and their experiences without getting worried about publication. We call for an extended abstract up to two pages to assess these submissions. A special committee made of industry representatives will review these submissions.

Paper submissions in Research and Application tracks are required to follow the general format specified for papers in the CRPIT series by the Australian Computer Society. Submission details are available from http://crpit.com/AuthorsSubmitting.html. LaTeX styles and Word templates may be found on this site. LaTeX is the recommended typesetting package.

The electronic submissions must be in PDF only, and made through the AusDM’14 Submission Page at https://www.easychair.org/conferences/?conf=ausdm2014/.

Important Dates
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Submission of abstracts: 28 July 2014
Submission of full papers: 4 August 2014 (midnight PST)
Notification of authors: 22 September 2014
Final version and author registration: 14 October 2014
Conference 27-28 November 2014

Organising Committee
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Program Chairs (Research)
Lin Liu, University of South Australia, Adelaide
Xue Li, University of Queensland, Brisbane, Australia

Program Chairs (Application)
Yanchang Zhao, Department of Immigration & Border Protection, Australia; and RDataMining.com
Kok-Leong Ong, Deakin University, Melbourne

Conference Chairs
Richi Nayak, Queensland University of Technology, Brisbane, Australia
Paul Kennedy, University of Technology, Sydney

Sponsorship Chair
Andrew Stranieri, University of Ballarat, Ballarat

Local Chair
Yue Xu, Brisbane, Australia

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

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

Join us on LinkedIn
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http://www.linkedin.com/groups/AusDM-4907891