The 20th IEEE International Conference on Big Data Science and Engineering (BigDataSE 2026)

The 20th IEEE International Conference on Big Data Science and Engineering (BigDataSE 2026) advances research and innovation in big data theory, algorithms, infrastructure, analytics, and applications across cloud computing, security, and large-scale data management.

Key Topics

• Big Data novel theory, algorithm and applications
• Systems, Models and Algorithms
• Big Data mining and analytics
• Big Data standards
• Big Data visualization
• Big Data Infrastructure, MapReduce and Cloud Computing
• Big Data semantics, scientific discovery and intelligence
• Big Data curation and management
• Security, privacy, trust, and legal issues to big data
• Big Data performance analysis and large-scale deployment
• Large data stream processing on cloud
• Big Data vs Big Business and Big Industry
• Distributed and federated datasets
• Large incremental datasets on cloud
• Big Data placement, scheduling, and optimization
• NoSQL data stores and DB scalability
• MapReduce for Big Data processing, resource scheduling and SLA
• Distributed file systems for Big Data
• Simulation and debugging systems and tools for MapReduce and Big Data
• Performance characterization, evaluation and optimization
• Multiple source data processing and integration with MapReduce
• Volume, Velocity, Variety, Value and Veracity of Big Data
• Large-scale big data workflow management
• Storage and computation management of Big Data
• Sensor network, social network and big data
• Mobility and big data
• Big data applications