Australasian Data Science and Machine Learning (AusDM) Conference has established itself as the premier Australasian meeting for both practitioners and researchers in the areas of data science and machine learning. Since AusDM 2002, the conference series has showcased research in data science and machine learning through presentations and discussions on the state-of-art research and development. In addition, it has made great strides in pushing forward the frontiers of data science and machine learning in academia, government, and industry. Built on this tradition, AusDM 2023 continuously aims to facilitate the cross-disciplinary exchange of ideas, experiences, and potential research directions.

In this special issue (https://link.springer.com/collections/feciibbfdd), we cordially invite the authors of AusDM 2023 accepted papers to extend and submit their papers with the following data science and machine learning topics, but not limited to:

• • Big Data Analytics
  • Biomedical and Health Data Mining
  • Computational Aspects of Data Mining
  • Data Integration, Matching and Linkage
  • Data Mining in Security and Surveillance
  • Data Preparation, Cleaning and Pre-processing
  • Data Stream Mining
  • Deep Learning
  • Machine Learning Safety
  • Evaluation of Results and their Communication

It is notable that the submitted journal manuscripts need to have at least 30% extension of the conference papers and they will go through a rigorous journal review process.

Planned Schedule

Manuscript submission: 30 April 2024
First review outcome: 30 June 2024
Revised manuscript submission: 31 July 2024
Final decision outcome: 30 September 2024
Final manuscript submission: 15 October 2024
Expected publication: December 2024

Guest Editors

Yee Ling Boo, RMIT University, Melbourne, Australia
Diana Benavides-Prado, The University of Auckland, Auckland, New Zealand
Sarah Erfani, The University of Melbourne, Melbourne, Australia
Philippe Fournier-Viger, Shenzhen University, Shenzhen, China
Yun Sing Koh, The University of Auckland, Auckland, New Zealand

Submission Process

All submissions must be done electronically through Data Science and Engineering’s e‐submission at https://www.editorialmanager.com/dsej/, with a manuscript type: ʺSpecial Issue on AusDM23”.

Data Science and Engineering journal follows a double-blind reviewing procedure. It is the responsibility of the authors to anonymise the manuscript and any associated materials.

Please refer to https://www.springer.com/journal/41019/submission-guidelines for more detailed instructions to authors.