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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
======================
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
====================
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
===============
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
====================
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
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