posted by user: basharcse || 3975 views || tracked by 4 users: [display]

AusDM 2021 : The 19th Australasian Data Mining Conference 2021


Conference Series : Australasian Data Mining Conference
When Dec 13, 2021 - Dec 15, 2021
Where Brisbane, Australia
Submission Deadline Sep 7, 2021
Notification Due Sep 30, 2021
Final Version Due Oct 15, 2021
Categories    datamining   machine learning   deep learning   knowledge management

Call For Papers

The 19th Australasian Data Mining Conference (AusDM’21)
Brisbane, Australia, 13-15 December 2021

The conference is planned to hold in-person in Brisbane. Participants from Australia and New Zealand are encouraged to attend it personally. There will be an option for overseas participants to attend it virtually.

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 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. Built on this tradition, AusDM’21 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’21 will be a meeting place for pushing forward the frontiers of data mining in academia and industry.

Publication and topics
We are calling for papers, both research and applications, and from both academia and industry, for publication and presentation at the conference. All papers will go through double-blind, peer–review by a panel of international experts. The AusDM’21 proceeding will be published by Springer-Verlag and become available immediately after the conference.

Please note that AusDM’21 requires that at least one author for each accepted paper register for the conference and present their work.

AusDM’21 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
• Big Data Analytics
• Biomedical and Health Data Mining
• Business Analytics
• Computational Aspects of Data Mining
• Data Integration, Matching and Linkage
• Data Mining in Education
• Data Mining in Security and Surveillance
• Data Preparation, Cleaning and Preprocessing
• Data Stream Mining
• Deep Learning
• Evaluation of Results and their Communication
• Implementations of Data Mining in Industry
• Integrating Domain Knowledge
• Link, Tree, Graph, Network and Process Mining
• Machine Learning
• 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

Keynote speakers
As is tradition for AusDM we have lined up an excellent keynote speaker program. Each speaker is a well-known research and/or practitioner in data mining and related disciplines. The keynote program provides an opportunity to hear from some of the world’s leaders on what the technology offers and where it is heading.

Submission of papers
We invite three types of submissions for AusDM’21:
• Research Track: Academic submissions reporting on new algorithms, novel approaches and research progress, with a paper length of maximum 16 pages in Springer style, as detailed below.
• Application Track: Submissions reporting on applications of data mining and machine learning and describing specific data mining implementations and experiences in the real world. Submissions in this category can be of a maximum length of 16 pages in Springer style.
• Industry Showcase Track: Submissions from governments and industry 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. There will be an option of full paper submission with a maximum paper length of 10 pages in Springer style or an extended abstract.

All submissions will go through a double-blind review process, i.e. paper submissions must NOT include authors names or affiliations or acknowledgments referring to funding bodies. Self-citing references should also be removed from the submitted papers for the double-blinded reviewing purpose. The information can be added in the accepted final camera-ready submissions.

Important Dates
Paper submissions: 7 Sept 2021
Notification: 30 September 2021
Camera-ready: 15 October 2021
Conference: 13-15 December 2021

Organising Committee

Conference Chairs
Richi Nayak, Queensland University of Technology
Yanchang Zhao, Data61, CSIRO
Graham Williams, The Australian National University

Research and Application Track Program Chairs
Yue Xu, Queensland University of Technology
Rosalind Wang, Western Sydney
Anton Lord, Leap In!

Industry Track Program Chairs
Annette Slunjski, IAPA
Warwick Graco, ATO

Organising Chairs
Khanh Luong, Queensland University of Technology
Thirunavukarasu Balasubramanium, Queensland University of Technology

Publicity Chair
Md Abul Bashar, Queensland University of Technology

Publication Chair
Yee Ling Boo, RMIT University

Steering Committee
Simeon Simoff (Chair), University of Western Sydney
Graham Williams (Chair), The Australian National University
Peter Christen, The Australian National University
Ling Chen, University of Technology
Zahid Islam, Charles Sturt University
Paul Kennedy, University of Technology
Yun Sing Koh, The University of Auckland
Jiuyong (John) Li, University of South Australia
Richi Nayak, Queensland University of Technology
Kok–Leong Ong, La Trobe University
Dharmendra Sharma, University of Canberra
Glenn Stone, Western Sydney University Yanchang Zhao, Data61, CSIRO

Further Information
AusDM’21 website:
Contact the organisers of AusDM’21 at
AusDM LinkedIn Group:

Related Resources

ICDM 2024   IEEE International Conference on Data Mining
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
CoMSE 2024   2024 3rd Conference on Materials Science and Engineering (CoMSE 2024)
ECCV 2024   European Conference on Computer Vision
DMKD 2024   2024 International Conference on Data Mining and Knowledge Discovery(DMKD 2024)
ICANN 2024   33rd International Conference on Artificial Neural Networks
ECAI 2024   27th European Conference on Artificial Intelligence
ADMA 2024   20th International Conference Advanced Data Mining and Applications
DSIT 2024   7th International Conference on Data Science and Information Technology
AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering