8th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2026) will be held on October 23-25, 2026 in Hangzhou, China. The idea of the conference is for the scientists, scholars, engineers and students from the Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry. We sincerely welcome you to be a member of MLBDBI 2026.


Conference Topics

1. Machine Learning

Deep and Reinforcement learning; Pattern recognition and classification for networks; Machine learning for network slicing optimization; Machine learning for 5G system; Machine learning for user behavior prediction; New innovative machine learning methods; Optimization of machine learning methods; Performance analysis of machine learning algorithms; Experimental evaluations of machine learning; Data mining in heterogeneous networks; Machine learning for multimedia; Machine learning for Internet of Things; Machine learning for security and protection; Distributed and decentralized machine learning algorithms

2. Big Data

Big Data Analytics; Data Science Models and Approaches; Algorithms for Big Data; Big Data Search and Information Retrieval Techniques; Big Data Acquisition, Integration, Cleaning, and Best Practices; Big Data and Deep Learning; Scalable Computing Models, Theories, and Algorithms; In-Memory Systems and Platforms for Big Data Analytics; Big Data and High Performance Computing; Cyber-Infrastructure for Big Data; Performance Evaluation Reports for Big Data Systems; Storage Systems (including file systems, NoSQL, and RDBMS); Resource Management Approaches for Big Data Systems; Many-Core Computing and Accelerators; Big Data Applications for Internet of Things; Mobile Applications of Big Data; Big Data Applications for Smart City; Data Streaming Applications; Fault Tolerance and Reliability; Scalability of Big Data Systems; Big Data Privacy and Security; Big Data Archival and Preservation; Visual Analytics Algorithms and Foundations; Graph and Context Models for Visualization; Big Data Transformation, and Presentation


3. Business Intelligence

Intelligent Computing Methodologies and Applications; Evolutionary Computing and Learning; Swarm Intelligence and Optimization; Signal Processing and Pattern Recognition; Image Processing and Information Security; Virtual Reality and Human-Computer Interaction; Business Intelligence and Multimedia Technology; Healthcare Informatics Theory and Methods; Natural Language Processing and Computational Linguistics; Intelligent Computing in Robotics; Intelligent Control and Automation; Intelligent Data Fusion; Intelligent Agent and Web Applications; Intelligent Fault Diagnosis; Intelligent cloud-support communications; Intelligent resource allocation; Intelligent energy-aware/green communications; Intelligent software defined networks; Intelligent positioning and navigation systems; Intelligent wireless communications; Intelligent wireless sensor networks