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AusDM 2017 : 15th Australasian Data Mining Conference

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Conference Series : Australasian Data Mining Conference
 
Link: http://ausdm17.ausdm.org
 
When Aug 19, 2017 - Aug 25, 2017
Where Melbourne, Australia
Submission Deadline May 31, 2017
Notification Due Jun 23, 2017
Final Version Due Jun 30, 2017
Categories    data mining   analytics   applications
 

Call For Papers

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
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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
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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
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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.

Submission information can be found on the conference Website: http://ausdm17.ausdm.org.

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