[AISWorld] AUSDM 2022 First Call for Papers

Fri Jun 24 09:44:14 EDT 2022

AUSDM 2022 First Call for Papers

AusDM Festival: Marking the 20th Anniversary of the Australasian Data
Mining Conference (AusDM 2022)
Western Sydney, Australia, 12 - 16 December 2022
https://ausdm22.ausdm.org

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Important Dates
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Abstract submission: 5 Aug 22
Paper submission: 12 Aug 22
Notiﬁcation: 23 Sept 22
Camera-ready: 7 Oct 22
Author Registration: 7 Oct 22
Conference: 12-16 Dec 22

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Description
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The conference is planned to be an in-person event in western Sydney.
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’22 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’22 will be a meeting place for pushing
forward the frontiers of data mining in academia and industry.

AusDM’22 will deliver keynote speeches, invited talks, full paper
presentations, abstract, posters, tutorials, workshops, social events, etc.

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Publication and Topics
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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 2022 proceeding will be published by
Springer Communications in Computer and Information Science (CCIS) and
become available immediately after the conference.

Please note that AusDM’22 requires that at least one author for each
accepted paper register for the conference and present their work for the
paper to be published in the proceeding.

AusDM’22 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
Data mining techniques in Neuroinformatics
Data Mining in Genomics and Proteomics
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

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Keynote Speakers
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As is tradition for AusDM we have lined up an excellent keynote speaker
program. Each speaker is a well-known researcher 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.

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Submissions
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We invite three types of submissions for AusDM’22:

Research Track: Academic submissions reporting on new algorithms, novel
approaches and research progress, with a paper length of between 8 and 15
pages in Springer CCIS 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 15 pages in Springer CCIS style, as detailed below.

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.
Submissions to this category should be a 1-page extended abstract. Note
that this track is presentation only, without publication in conference
proceedings. For publication of your papers, please submit them to the
above Application Track.

All submissions, except for the Industry Showcase Track, 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 Springer Communications in Computer and Information Science (CCIS)
style. Authors should consult Springer’s authors’ guidelines and use the
proceeding templates, either in LaTeX or Word, for the preparation of their
papers. The electronic submission must be in PDF only and made through the
AusDM Submission page. Springer encourages authors to include their ORCIDs
in their papers. In addition, the corresponding author of each paper,
acting on behalf of all the authors of the paper, must complete and sign a
Consent to Publish form, through which the copyright for their paper is
transferred to Springer.

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Organizing Committee
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Steering Committee Chairs
Simeon Simoff (Western Sydney University)
Graham Williams (The Australian National University)

General Chairs
Yun Sing Koh (University of Auckland)
Yanchang Zhao (Data61, CSIRO)

PC Chair – Research
Heitor Murilo Gomes (Victoria University of Wellington)
Laurence Park (Western Sydney University)

PC Chair – Application
Maryam Doborjeh (Auckland University of Technology)

Industry Chair
Jess Moore (The Australian National University)

Special Session Chair
Diana Benavides Prado (University of Auckland)

Publication Chair
Yee Ling Boo (Royal Melbourne Institute of Technology)

Diversity, Equity, and Inclusion Chair
Richi Nayak (Queensland University of Technology)

Finance Chair
Michael Walsh (Western Sydney University)

Web Chair
Ben Halstead (University of Auckland)

Publicity Chair
Monica Bian (University of Sydney)

Local Organising Chair
Madhushi Bandara (University of Technology Sydney)

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Further Information
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AusDM’22 website: https://ausdm22.ausdm.org
Contact: ausdm22 at ausdm.org
Twitter: https://twitter.com/AusDm2022
LinkedIn: https://www.linkedin.com/groups/4907891/
Facebook: https://www.facebook.com/ausdm2022conference