The 13th Australasian Data Mining Conference (AusDM 2015)
Sydney, Australia, 8-9 August 2015
co-located with SIGKDD’15
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.
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 2015) 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 2015:
– Academic submissions: Normal academic submissions reporting on research progress, with a paper length of between 8 and 12 pages in CRPIT style, as detailed below. Academic submissions we will use a double-blinded review process, i.e. paper submissions must NOT include authors 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 from governments and industry can report on specific data mining implementations and experiences. 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.
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.
Submission of full papers: Monday 20 April 2015 (midnight PST)
Notification of authors: Sunday June 7 2015
Final version and author registration: Sunday June 28 2015
Conference: 8-9 August 2015