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 the AusDM 2018 proceedings by Springer. Some selected papers will be invited for submission with extension in a special edition of a Springer journal. Please note that we require that at least one author for each accepted paper will register for the conference and present their work. One full registration will cover at most two papers.
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 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
Submission of Papers
We invite three types of submissions for AusDM 2018:
- 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. 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. LaTeX styles and Word templates will be available while LaTeX will be the recommended typesetting package.
The electronic submissions must be in PDF only, and made through the AusDM’18 Submission Page, here.