about
About ICDM 2027
Intelligent computing and data mining are current research hotspots in the field of information technology, with extensive applications in various domains such as finance, healthcare, education, and transportation. With the explosive growth of data in the big data era, extracting valuable information from massive datasets remains a challenge that requires continuous iterative solutions.
The 4th International Conference on Data Mining and Intelligent Computing (ICDM 2027) will be held in Beijing, China, from October 22 to 24, 2027.The conference aims to build a high-level exchange platform for domestic and international experts and scholars to conduct in-depth discussions on the latest research findings in the fields of data mining and intelligent computing. Participants will jointly explore how to provide intelligent decision support through the analysis and processing of massive data, and discuss how to apply data-driven methods to complex problems—by discovering the underlying patterns and correlations within the data, revealing the essence of the problems, and seeking innovative solutions. We sincerely welcome scholars to actively submit papers and participate in the conference, share their wisdom, and jointly promote development.
date
Important Dates
cfp
Topics
The topics of interest for submission include, but are not limited to:
Track 1: Foundations and Theory of Intelligent Computing
Intelligent Computing Theory
Evolutionary Computation and Learning
Swarm Intelligence and Optimization
Neural Network Theory
Fuzzy Theory and Algorithms
Natural and Quantum Computing
Independent Component Analysis
Pervasive Computing Techniques
Intelligent System Evaluation
Track 2: Data Mining Methods and Algorithms
Foundations of Data Mining Methods
Classification and Clustering Methods
Association Rule Mining
Web and Graph Mining
Temporal Data Mining
Text and Multimedia Mining
Scalable Data Preprocessing
High-Performance Mining Algorithms
Parallel and Distributed Algorithms
Track 3: Machine Learning and Intelligent Analytics
Machine Learning Methods
Deep Learning Methods
Reinforcement Learning Methods
Federated Learning Methods
Natural Language Processing
Explainable Machine Learning
Intelligent Data Analysis and Prediction
Anomaly Detection Methods
Intelligent Decision Analytics
Track 4: Big Data and Knowledge Discovery
Big Data Analytics
Big Data Computing Architectures
Data Stream Mining
Large-Scale Data Mining Methods
Data Quality and Fusion Techniques
Knowledge Discovery Methods
Knowledge Graph Construction
Data Visualization Analytics
Intelligent Data Management
Track 5: Data Security, Privacy and Trusted Computing
Data Security Mechanisms
Data Privacy Protection
Differential Privacy Techniques
Data Encryption Methods
Secure Data Sharing
Blockchain Data Management
Trusted Data Mining
Algorithmic Fairness
Data Governance Methods
Track 6: Applications of Intelligent Computing and Data Mining
Smart City Applications
Intelligent Healthcare Applications
Financial Data Analysis
Industrial Intelligence Applications
Social Network Analysis
Intelligent Recommendation Systems
Intelligent Control and Automation
E-commerce Mining Systems
Future Application Challenges
Publication
Index History
All accepted full papers will be published in the conference proceedings and will be submitted to Ei Compendex / Scopus for indexing.
Cover
ICDM 2025
Ei Compendex
ICDM 2025
Scopus
ICDM 2025
Cover
ICDM 2024
Ei Compendex
ICDM 2024
Scopus
ICDM 2024
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.
contact
* If you have any questions or inquiries, please feel free to contact us.