15th Australasian Data Mining Conference (AusDM 2017)
Melbourne, Australia, 19-25 August 2017
Join us on LinkedIn: http://www.linkedin.com/groups/AusDM-4907891
The Australasian Data Mining Conference has established itself as
the premier Australasian meeting for both practitioners and researchers
in data mining. It is devoted to the art and science of intelligent
analysis of (usually big) data sets for meaningful (and previously
unknown) insights. This conference will enable the sharing and learning
of research and progress in the local context and new breakthroughs in
data mining algorithms and their applications across all industries.
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. Built on this tradition, AusDM’17 will facilitate
the cross-disciplinary exchange of ideas, experience and potential
research directions. Specifically, the conference seeks to showcase:
Research Prototypes; Industry Case Studies; Practical Analytics
Technology; and Research Student Projects. AusDM’16 will be a meeting
place for pushing forward the frontiers of data mining in academia and
industry. This year, AusDM’17 is proud to be co-located with numerous
conferences including IJCAI, AAI, KSEM and IFIP in Melbourne, Australia.
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 2017) 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 and will also be distributed at the conference. For more details
on CRPIT please see http://www.crpit.com. 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
Spatial and Temporal Data Mining
Text Mining
Visual Analytics
Web and Social Network Mining
Submission of papers
We invite two types of submissions for AusDM 2017:
Academic submissions
Regular academic submissions can be made in Research Track 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- blind review process, i.e. paper submissions must NOT include
author 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.
Industry submissions
Submissions can be made in the Application Track to report on
specific data mining implementations and experiences in governments and
industry projects. Submissions in this category can be between 4 and 8
pages in CRPIT style, as detailed below. Papers submitted to this track
are also to be double-blinded so authors should exclude author and
affiliations, funding bodies, and self-citing references too.
Paper submissions 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.
