ADMA2024 Call for Industry Track Papers

The 20th International Conference on Advanced Data Mining and Applications (ADMA2024) will be held in Sydney, Australia during 3^rd ~ 5^th December 2024. ADMA2024 aims at bringing together the experts on data mining from around the world and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software, and systems, as well as different applied disciplines with potential in data mining. This time-honoured conference has been ranked C level by CCF (China Computer Federation).

It is our great pleasure to invite you to participate in this premier annual event through contributing applied research papers and demonstrations from industrial applications and deployment in data mining. ADMA Industry Track concentrates on applied research and development aspects for data mining algorithms, techniques, tools, platforms, and systems addressing real-world problems. Besides scientific contribution, the submissions are also expected to demonstrate significant industrial impacts and measurable benefits to the public or private sectors. Generally, this track solicits high-quality and original work about experience and novel designs of the best practices in industrial data mining applications, newly released and deployed data mining services, platforms, and systems, insightful analysis on new large-scale datasets from real industry data mining applications with unique angles, as well as insightful analysis on challenges and trends in data mining business and markets that will benefit practitioners and policy makers.

The same as the research track, the accepted industry track papers of will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and indexed in EI and DBLP. To scaffold the practicability, an accepted paper should be presented in a talk by the authors with showcasing a brief pre-recorded video demo or live demo. At least one of the authors of an accepted industry track paper must register in full and attend the conference to present the work. The review will be single-blind, i.e., authors can include identity and affiliation information in their submissions.

Industry Track Submission

Important Dates

Themes and Topics

The themes and topics of interest in Industry Track include, but are not limited to:

Data Mining Theories and Technologies

• Data mining with LLMs (Large Language Models)
• Deep learning services and platforms for data mining
• Text, video, multimedia data mining
• Graph modelling and mining
• Recommender systems
• Trustworthy data mining services and platforms
• Federated learning systems for scalable data mining
• Data mining processes and modules in industry applications
• Data mining for bioinformatics and healthcare
• E-commerce data mining
• Data mining in Smart Cities
• Data mining services on cloud and edge

Industry Track Submission Guidelines

Formatting Guidelines

• The paper should be in English and contain unpublished contributions to the data mining and related fields.

• Manuscripts must be prepared in accordance with the LNAI (Lecture Notes in Artificial Intelligence) format. For the template and details on the LNCS style, see Springer's Author Instructions

• The paper should NOT exceed 15 pages in LNAI format.

• Submissions are reviewed in a single-blind manner. For ADMA2024, the single-blind means that: the single-blind means that author identities and affiliations will be disclosed to reviewers during the review process if provided. But authors will not know who has reviewed their papers.

• The list of authors at the time of submission is final and cannot be changed.

• Submitted papers must comply with all of the rules below. Any violation may result in a Desk Reject without going through peer-reviewing.

Manuscript Preparation

• Authors should aim to avoid copy&pasting substantial amounts of text from their own prior publications, as such text blocks may be readily recognized by experts familiar with the state of the art and recent papers in the area.

• Similarly, authors should not directly reuse figures from their own prior publications without attribution. Ideally, “fresh” figures should be prepared and used whenever possible. If that is not a viable option, that is, if a figure must be reused, then a citation should be included giving credit to the original paper from which the illustration has been adapted.

• Authors must refrain from using any specific formatting tricks, linguistic mannerisms, figure styles, or other stylistic idioms that could hint at or disclose the author identity or affiliation.

• Authors are encouraged to provide the links of source code and data repos in the manuscript where appropriate to show as strong evidence for reproducibility and facilitate reviewers to assess the practicability and the overall quality.

• Supplemental materials and/or appendices that a submission refers to can be submitted together with the same submission deadlines the manuscript.

• It is imperative to acknowledge the contributions of AI models in the generation of textual content. Authors utilizing AI-generated text in their manuscripts are required to assume full responsibility for the accuracy, integrity, and originality of the material presented. Furthermore, any section of the paper employing AI-generated text should include clear documentation and description of the AI system utilized. This transparency ensures that readers can discern between human-authored content and text generated by AI, fostering a culture of accountability and integrity within the scholarly community.

Own Prior Work, Well-Known Projects, and Research Artifacts

• When submitting or extending a prior workshop publication, authors must proactively disclose the existence of a prior workshop version of a submitted paper. Such information should be emailed to the Program Chair. Failure to disclose a prior workshop publication is considered self-plagiarism.

• After communicating with the Program Chair, it is recommended to add a headline (or footer) on the first page of the manuscript with the following information: “This submission is based on Preprints, Paper Announcements, and Prior Workshop Papers. The information has been communicated with the Program Chair.” If the paper is accepted, the above text should be removed and appropriate citations if any should be added (e.g., citation for prior workshop paper, technical report or thesis and its relation to the accepted paper).

• If your submission is an extended version of a workshop paper with DOI, you will be asked to provide a version of the workshop paper as supplementary material. This will be used by the reviewers to verify that there is a sufficient amount of new material in the extended version to warrant a publication at ADMA2024.

Enquiries

All enquiries about Industry Track should be emailed to the Industry Track Chairs via adma2024@mq.edu.au, with a subject starting with "[ADMA2024 Industry Track]".

Program Chairs

• Dr Lingfei Wu, Pinterest, USA
• Dr. Xiwei (Sherry) Xu, Data61, CSIRO Australia
• Prof. Zhao Li, Zhejiang University, China