WELCOME TO
AIDM 2027
Guilin, China | March 12-14, 2027
2027 2nd International Conference on Artificial Intelligence and Data Mining
Countdown to the Conference:
About AIDM 2027
2027 2nd International Conference on Artificial Intelligence and Data Mining (AIDM 2027) will be held on March 12-14, 2027 in Guilin, China.
The goal of AIDM is to promote the research and developmental activities in Artificial Intelligence and Data Mining and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held to make it an ideal platform for people to share views and experiences in Artificial Intelligence and Data Mining and related areas.
This conference focuses on Artificial Intelligence and Data Mining, aiming to provide a platform for experts and scholars, engineers and researchers to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote cooperation in the industrialization of academic achievements.
We look forward to seeing you!
Important Dates
Full Paper
Submission Date
December
20
2026
Notification Date
January
20
2027
Final Paper
Submission Date
February
10
2027
Registration
Deadline
March
1
2027
Conference
Dates
March
12-14
2027
Sponsored By
 |
☛ Call For Papers
☛ Submission
☛ Publication
Call For Papers
The topics of interest for submission include, but are not limited to:
📚︎Artificial Intelligence
Machine Learning; Deep Learning; Reinforcement Learning; Transfer Learning; Federated Learning; Generative AI; Explainable AI; Multi-Agent Systems; Edge Intelligence; Human–AI Interaction; Large Language Models; Self-Supervised Learning; Graph Neural Networks; Continual Learning; Intelligent Optimization;
📚︎Intelligent and Secure Computing
Intelligent Computing; Network Security; Wireless Communication Security; Cyber Threat Detection; Secure Data Analytics; Blockchain Security; Privacy-Preserving Learning; Trustworthy AI; Data Integrity Protection; Secure Cloud Computing; Federated Learning; Robust and Trustworthy AI;
📚︎Data Mining
Big Data Analytics; Knowledge Discovery; Pattern Recognition; Graph Mining; Time Series Analysis; Anomaly Detection; Causal Inference; Data Visualization; Privacy-Preserving Mining; Automated Feature Engineering; Knowledge Graphs; Causal Discovery; Streaming Data Mining;
Submission
1. The submitted papers must not be under consideration elsewhere.
2. Please send the full paper (Word+PDF) to Submission System.
📤︎Submission System (CN)📤︎Submission System (EN)
3. Please submit the full paper, if both presentation and publication are needed.
4. Please submit the abstract only, if you just want to make presentations.
5. Download Templates:
6. Should you have any questions or need any materials in English, please contact us.
Publication
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.