Special Track on Data Intelligence & Knowledge Mining at The 20th International Conference Advanced Data Mining and Applications 2024 (ADMA 2024).
December 3-5, 2024, Sydney, Australia
https://call4papers.github.io/adma-dikm/
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Important Dates
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Paper Submission Deadline: 15th June, 2024 (AoE)
Notification of Acceptance: 1st August, 2024 (AoE)
Camera-Ready Paper Due: 15th August, 2024 (AoE)
Conference Dates: 3rd~5th December, 2024 (AEST)
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Track Chairs
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Yuncheng Jiang, South China Normal University, China
Gang Li, Deakin University, Australia
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Program Committee
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Weiru Liu, University of Bristol, United Kingdom
Laura E. Barnes, University of Virginia, United States
Aladdin Ayesh, University of Aberdeen, United Kingdom
Mengchi Liu, Carleton University, Canada
Tianwei Zhang, Nanyang Technological University, Singapore
Xiaowei Jia, University of Pittsburgh, United States
Chen Li, Nagoya University, Japan
Zhiwen Yu, South China University of Technology, China
Call for Papers
The 20th International Conference on Advanced Data Mining and Applications (ADMA 2024) will be held at Macquarie University, Sydney, Australia, from 3rd ~ to 5th December 2024. ADMA 2024 aims to bring together experts on data mining from around the world and provide a leading international forum for disseminating original research findings in data mining, spanning applications, algorithms, software, and systems, as well as different applied disciplines with potential in data mining. ADMA is in the list of CCF (China Computer Federation) recommended Conferences (C series, Databases/Data Mining).
We invite submissions for our upcoming Special Track on Data Intelligence & Knowledge Mining at The 20th International Conference Advanced Data Mining and Applications 2024 (ADMA 2024). This special track aims to bring together researchers, practitioners, and experts to explore the latest advancements, challenges, and opportunities in this domain by promoting cutting-edge research and innovation in Data Intelligence and Knowledge Mining, facilitating knowledge sharing and cross-disciplinary collaborations, discussing real-world applications and case studies, and identifying emerging trends and future directions. We welcome contributions from a wide range of topics, including but not limited to:
• Advanced data mining techniques and algorithms.
• Knowledge discovery and representation.
• Big data analytics and visualization.
• Machine learning and deep learning in knowledge mining.
• Context-aware data intelligence.
• Knowledge graph and semantic reasoning.
• Data-driven decision making and prediction.
• Privacy and security in data intelligence.
• Applications of data intelligence in various domains (e.g., education, finance, marketing).