14th Australasian Data Mining Conference (AusDM 2016)
Canberra, Australia,
6-8 December 2016
URL: http://ausdm16.ausdm.org/
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'16 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. AusDM'16 is proud to be co-located with Australian Statistical Conference and OZCots in Canberra, 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 2016) 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 three types of submissions for AusDM 2016:
- 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. These submissions do not need to be double-blinded. A special committee made of industry representatives will assess industry submissions.
- Industry Showcase submissions: Submission from industry and government on an analytics solution that has raised profits, reduced costs and/or achieved other important policy and/or business outcomes can be made in this track with a one page Abstract only.
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. The electronic submissions must be in PDF only, and made through the AusDM'16 Submission Page.


Important Dates

Paper Submission Closed: Friday 19 August 2016
Authors Notified: Monday 24 October 2016
Camera Ready Submission: Monday 7 November 2016
Preliminary Program Available: Wednesday 9 November 2016
Early Bird Cut-O Date for Authors: Friday 11 November 2016
Conference Dates: 6-8 December 2016