The 22nd International Conference on Advanced Data Mining and Applications (ADMA2026) will be held in Hong Kong SAR, China, November 1-3, 2026. It is our great pleasure to invite you to contribute papers and participate in this premier annual event on research and applications of data mining.

ADMA2026 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, such as smart transportation, fintech, intelligent manufacturing, biomedical science, green computing, personalized education, etc. Papers will go through a full peer review process in a double-blind manner. Accepted papers of the conference will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and indexed in EI and DBLP. This time-honoured conference has been ranked C level by CCF (China Computer Federation).

Important Dates

Submission Deadline: May 29, 2026
Notification: August 3, 2026
Camera-Ready Submission Deadline: August 17, 2026
Conference Dates: November 1-3, 2026

Themes and Topics

We invite authors to submit papers relevant to the topics include, but are not limited to:

Data Mining Theories and Technologies
- Data mining foundations and algorithms
- Grand challenges in big data mining
- Mining on data streams
- Graph mining
- Spatial and temporal data mining
- Text, video, multimedia data mining
- Web mining and social networks
- Correlation mining and causality analysis
- Recommender systems
- Generative data mining
- Deep learning models for data mining
- Trustworthy and responsible data mining
- Data mining security and privacy
- Federated and privacy-aware data mining
- Parallel and distributed data mining
- Interactive data mining and visualisation
- Benchmarking and evaluations
- Trends in advanced data mining

Data Mining Applications
- Data mining for edge intelligence
- Data mining for bioinformatics
- Image mining & interpretations
- E-commerce data mining
- Healthcare informatics
- Disaster prediction and prevention
- Data Mining Applications with LLMs
- Financial market analysis
- Software analysis with data mining
- Data mining enhanced education
- Data mining for AgriTech
- Data mining in Internet of Things
- Mining for database management
- Data mining for space science
- Data mining for cyber security
- Data mining for eScience
- Smart Cities applications
- Data mining for societal science