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AusDM 2020 Call for Papers

posted May 13, 2020, 11:05 PM by Yanchang Zhao   [ updated May 19, 2020, 5:18 PM ]
The 18th Australasian Data Mining Conference (AusDM 2020)
Canberra, Australia
1-4 December 2020
 

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.

In this year, AusDM is pleased to be co-located with the 2020 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020) in Canberra, Australia. The IEEE SSCI co-locates several symposia under one roof, each dedicated to a specific topic in the Computational Intelligence domain.

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 2020 proceeding will be published by IEEE and become available immediately after the conference.

Please note that AusDM’20 requires that at least one author for each accepted paper 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 in 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 three types of submissions for AusDM’20:
•    Research Track: Academic submissions reporting on new algorithms, novel approaches and research progress, with a paper length of between 8 and 12 pages in IEEE 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 between 6 and 12 pages in CCIS 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 with a paper length between 4 and 6 pages in CCIS style.

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.

All submissions are required to follow the format specified for papers in the CCIS style. Author guideline, LaTeX style file and Word template of the CCIS style can be found on AusDM’20 Submission Page (http://www.ieeessci2020.org/submission.html). The electronic submissions must be in PDF only and made through the SSCI’20 Submission Page by selecting the AusDM Academic track or AusDM Industry track as “Main Research Topic”.

Important Dates
Paper submissions:   7 August 2020 (no extension)
Notification:    4 September 2020
Camera-ready:    18 September 2020
Conference:    1-4 December 2019

Organising Committee

Conference Chairs
Rohan Baxter, Australian Taxation Office
Richi Nayak, Queensland University of Technology
Dharmendra Sharma, University of Canberra

Program Chairs
Mohammad.Abualsheikh, University of Canberra
Yue Xu, Queensland University of Technology
Yanchang Zhao, Data61, CSIRO
Jin Li, Data2Action

Organising Chair
Saber Mohamed Elsayed, University of New South Wales Canberra

Publicity Chair
Md Abul Bashar, Queensland University of Technology

Further Information
AusDM’20 website: https://ausdm20.ausdm.org/
Contact the organisers of AusDM 2020 at ausdm20@ausdm.org
AusDM LinkedIn Group: https://www.linkedin.com/groups/4907891/