AusDM 2018: The 16th Australasian Data Mining Conference Charles Sturt University, Bathurst Bathurst, Australia, November 28-30, 2018 |
Conference website | http://ausdm18.ausdm.org/ |
Submission link | https://easychair.org/conferences/?conf=ausdm2018 |
Submission deadline | August 3, 2018 |
The 16th Australasian Data Mining Conference
The Australasian Data Mining Conference (AusDM) 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.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Academic submissions: Regular academic submissions can be made in Research Track reporting on research progress, with a paper length up to 12 pages. 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 up to 12 pages. The review process for these submissions will also be double-blind. 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. The review process for these submissions will also be double-blind.
List of Topics
Topics of interest include, but are not restricted to:
- Applications of Data Mininig and Case Studies
- 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
- Implementations of Data Mining in Industry
- Integrating Domain Knowledge
- Knowledge Discovery and Presentation
- Link, Tree, Graph, Network and Process Mining
- Multimedia Data Mining
- Mobile Data Mining
- New Data Mining Algorithms
- Privacy-preserving Data Mining
- Spatial and Temporal Data Mining
- Text Mining
- Web and Social Network Mining
Committees
For more information please visit http://ausdm18.ausdm.org/
Invited Speakers
For more information please visit http://ausdm18.ausdm.org/
Publication
AusDM 2018 proceedings will be published in Springer CCiS
Venue
The conference will be held in Charles Sturt University, Bathurst, NSW, Australia
Contact
All questions about submissions should be emailed to ausdm18@ausdm.org