AusDM: Australasian Data Mining Conference

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2026 or later

 
 

All CFPs on WikiCFP

Event When Where Deadline
AusDM 2025 Australasian Data Science and Machine Learning Conference
Nov 26, 2025 - Nov 28, 2025 Brisbane, Australia Aug 10, 2025 (Aug 3, 2025)
AusDM 2024 Australasian Data Mining Conference
Nov 25, 2024 - Nov 27, 2024 Melbourne, Australia Aug 11, 2024 (Aug 4, 2024)
AUSDM 2023 The Australasian Data Science and Machine Learning Conference 2023 - First Call for Papers
Dec 11, 2023 - Dec 13, 2023 Auckland, New Zealand Aug 25, 2023 (Aug 18, 2023)
AUSDM 2022 THE 20TH AUSTRALASIAN DATA MINING CONFERENCE 2022
Dec 12, 2022 - Dec 16, 2022 Western Sydney Aug 12, 2022 (Aug 5, 2022)
AusDM 2021 The 19th Australasian Data Mining Conference 2021
Dec 13, 2021 - Dec 15, 2021 Brisbane, Australia Sep 7, 2021
AusDM 2020 The 18th Australasian Data Mining Conference 2020
Dec 1, 2020 - Dec 4, 2020 Canberra, Australia Aug 7, 2020
AusDM 2019 The 17th Australasian Data Mining Conference
Dec 2, 2019 - Dec 5, 2019 Adelaide, Australia Aug 12, 2019
AusDM 2018 Australasian Data Mining Conference
Nov 28, 2018 - Nov 30, 2018 Bathurst, Australia Jul 20, 2018
AusDM 2017 15th Australasian Data Mining Conference
Aug 19, 2017 - Aug 25, 2017 Melbourne, Australia May 31, 2017
AusDM 2013 The 11th Australasian Data Mining Conference
Nov 13, 2013 - Nov 15, 2013 Canberra, Australia Jul 15, 2013
AusDM 2012 The 10th Australasian Data Mining Conference
Dec 5, 2012 - Dec 7, 2012 Sydney, Australia Aug 1, 2012
AusDM 2011 Ninth Australasian Data Mining Conference
Dec 1, 2011 - Dec 2, 2011 Ballarat, Victoria, Australia Aug 22, 2011 (Jun 24, 2011)
AusDM 2009 The Australasian Data Mining Conference
Dec 1, 2009 - Dec 4, 2009 Melbourne, Australia Jul 31, 2009
AusDM 2008 The Australasian Data Mining Conference
Nov 27, 2008 - Nov 28, 2008 Adelaide, Australia Aug 1, 2008
 
 

Present CFP : 2025

AusDM25 Call For Papers

The Australasian Data Science and Machine Learning Conference (AusDM)—formerly the Australasian Data Mining Conference—has become the leading regional forum for both researchers and practitioners in Data Science and Machine Learning, including areas such as Data Mining, Data Analytics, Deep Learning, Natural Language Processing, and Generative AI.

As these interdisciplinary fields continue to evolve, AusDM remains committed to advancing the development and application of intelligent algorithms capable of learning from large-scale, complex data. The conference plays a vital role in sharing progress and fostering collaboration within the Australasian data science community, while also showcasing breakthroughs with global relevance. Since its inception in 2002, AusDM has provided a platform for the presentation, discussion, and dissemination of advances in algorithms, systems, software, and real-world applications.

AusDM 2025 will build on this tradition by encouraging cross-disciplinary exchange of ideas, practical experiences, and future research directions.

This year’s conference will highlight:

· Research prototypes

· Industry case studies

· Innovative technologies

· Research student projects

AusDM’25 aims to be a dynamic meeting point for advancing the frontiers of Data Science and Machine Learning in both academia and industry. The program will feature keynote talks, panel sessions, paper presentations, workshops and tutorials, a doctoral consortium, and networking events, ensuring a rich and engaging experience for all participants.

===Submissions===

The proceedings of AusDM’25 will be published by Springer in the Communications in Computer and Information Science (CCIS) series and will be made available via SpringerLink.

We invite two types of submissions for AusDM’25, from both academia and industry, reporting on novel research, practical implementations, and real-world experiences in Data Science, Machine Learning, and Artificial Intelligence:

· Research Track: Submissions reporting on novel algorithms, models, or theories; foundational or empirical research; and methodological advances,
· Application Track: Submissions reporting on authentic and practical implementations and case studies; industry or government deployments; and lessons learned, impacts, and domain-specific innovations.

We also invite submissions from industry and government authors who wish to only showcase their work without publication, they may choose to submit a 1-page extended abstract for presentation only in this track. However, to be included in the proceedings, full paper submission is required.

Manuscripts should be with a paper length of maximum 15 pages in Springer CCIS style, as detailed on the conference website. All submissions (except 1-page presentations) will undergo a double-blind peer review. Authors must ensure that:

· Papers do not include names, affiliations, or acknowledgments of funding bodies.
· Self-citations are anonymized or removed for review purposes.
· Identifying information may be added back into the final camera-ready version of accepted papers.


===Ethical and Inclusive Research===

AusDM’25 upholds the principles of Diversity, Equity, and Inclusion (DEI). We encourage authors to:
· Avoid language or examples that reinforce marginalization or stereotypes.
· Be respectful and inclusive in how research is framed and presented.

===Use of Generative AI (e.g., LLMs)===

If Generative AI tools (such as ChatGPT or others) are used in preparing the submission, authors must:
· Clearly disclose how these tools were used (e.g., for writing, data processing, visualisation, experimentation, etc.).
· Ensure the accuracy, originality, and correctness of all content generated.
· Maintain full responsibility for the integrity of the submission.


===Journal Special Issue===

A selected number of best papers will be invited for a submission to AusDM Special Issue in a Scimago ranked journal.


===Important Dates (AEST, 11.59pm)====

Abstract submission: 3 Aug 25
Paper submission: 10 Aug 25
Paper notification: 7 Sept 25
Camera-ready: 21 Sept 25
Author Registration: 21 Sept 25
Conference dates: 26 to 28 Nov 25
 

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