5th International Conference on Machine Learning and Big Data Management (MLBDM 2025)

Topics

• Algorithms and Systems for Big Data Search
• Unsupervised Learning
• Distributed, and Peer-to-peer Search
• Meaningful Compression
• Big Data Search Architectures, Scalability and Efficiency
• Computational Theories of Learning
• Data Acquisition, Integration, Cleaning, and Best Practices
• Big Data Visualization
• Visualization Analytics for Big Data
• Structure Discovery
• Computational Modeling and Data Integration
• Feature Elicitation
• Large-scale Recommendation Systems and Social Media Systems
• Recommender Systems