We invite submissions for our upcoming Special Track on Data Intelligence & Knowledge Mining at The 21th International Conference Advanced Data Mining and Applications 2025 (ADMA 2025). ADMA is in the list of CCF (China Computer Federation) recommended Conferences (C series, Databases/Data Mining).
In the rapidly evolving digital age, the field of Data Intelligence and Knowledge Mining has emerged as a crucial area of research and application. It encompasses the processes and techniques aimed at extracting valuable insights and knowledge from vast and complex datasets. This field plays a crucial role in various aspects of our modern society, including but not limited to the following:
The key techniques and methods used in this field include:
The applications of Data Intelligence and Knowledge Mining are diverse, ranging from:
As the volume and complexity of data continue to grow, the importance of this field will only increase. It offers exciting opportunities for researchers and practitioners to drive innovation and make a significant impact in multiple domains.
In summary, the special track is poised to make significant contributions to ADMA 2025 by serving as a dedicated platform for pioneering research and interdisciplinary collaboration, offering unique insights into the pivotal role of AI in data intelligence & knowledge mining, while aligning with ADMA’s broader mission of advancing Data Mining and its applications.
This special track aims to bring together researchers, practitioners, and experts to explore the latest advancements, challenges, and opportunities in this domain by:
We welcome contributions from a wide range of topics, including but not limited to:
We welcome English-language papers containing original and unpublished contributions to the fields of data mining and related areas. Manuscripts should adhere to the LNAI (Lecture Notes in Artificial Intelligence) format. For the template and detailed instructions on LNCS style, please refer to Springer's Author Instructions. Papers should adhere to the main conference guidelines, ensuring they do not exceed 15 pages in LNAI format. Submissions undergo a double-blind review process for ADMA2025. This means:
Authors are invited to submit original research papers, case studies, and technical reports aligned with the theme of Data Intelligence and Knowledge Mining. Submissions should adhere to the conference's formatting guidelines and be submitted through the CMT online submission system. All submissions will undergo a rigorous peer-review process to ensure quality and relevance. When submitting your manuscript, please choose the "Special Session Track" option and select the area of "Special Session: Data Intelligence & Knowledge Mining".
Yuncheng Jiang is a Professor at the School of Computer Science and the School of Artificial Intelligence, South China Normal University, Guangdong, China. He received his Ph.D. from the Institute of Computing Technology, Chinese Academy of Sciences in 2004. His research has been published in journals and conferences including TKDE, TNNLS, TEC, IPM, Neural Networks, TLT, TCSS, TBD, AAAI, IJCAI, ACM MM, CIKM, ECML PKDD, and DASFAA. He was a recipient of the Best Paper Awards at KSEM 2022 and CSIS-IAC 2024, and the Special Session Best Paper Award at ADMA 2024. He is a member of the KSEM (International Conference on Knowledge Science, Engineering and Management) steering committee, the IEEE, the ACM, and the chair of IEEE Task Force on Educational Data Mining and the vice chair of ACM Guangzhou Chapter, and a distinguished membership of China Computer Federation (CCF). He also is the General Co-Chair of CCF NCTCS 2023, the PC Co-Chairs of KSEM 2023 and CAAI CDIC 2023 and 2024, the Workshop chair of PRICAI 2024, the chair of IWEAI 2024, and the Track chair of Special Track on Data Intelligence & Knowledge Mining at ADMA 2024. His current research interests include graph computing, knowledge graphs, graph neural networks, educational artificial intelligence and data science.
Gang Li is a full professor at Deakin University in Australia. He holds several leadership positions, including University Academic Board Member, Director of TULIP Lab, and Director of AI Analytics at the Deakin Cyber Research and Innovation Centre. Previously, he served as Director of D2i Research Centre and was involved in academic training roles such as Academic Director of Research Training and Faculty HDR Coordinator.
As a Senior Member of IEEE, Li contributes significantly to fields like artificial intelligence, data privacy, machine learning, and business intelligence. He has served on the IEEE Data Mining and Big Data Analytics Technical Committee and chairs the Task Force on Educational Data Mining in the Educational Data Mining committee. Li edits Springer's CCIS series and has held editorial roles for journals such as Cyber Security, IT&T, Decision Support Systems (Elsevier), and IEEE Access. He has also guest-edited special issues for ACM Transactions on PGM and Future Generation Computer Systems. His research has earned him 10 best paper awards, including notable recognitions in recent years. Beyond his academic contributions, Li conducts impactful research in tourism and hospitality management and is active in the conference circuit, serving on Program Committees for over 150 international conferences.