IEEE BigDataService 2026 - The 12th IEEE International Conference on Big Data Computing Service and Machine Learning Applications

IEEE BigDataService 2026 - The 12th IEEE International Conference on Big Data Computing Service and Machine Learning Applications focuses on big data analytics, machine learning applications, and advanced computing services, bringing together experts to explore algorithms, technologies, and real-world implementations across various industries.

Key Topics

• Algorithms and systems for big data search and analytics
• Big Data Analytics and Machine Learning
• Predictive analytics and simulation
• Machine learning for big data and based on big data
• Knowledge extraction, discovery, analysis, and presentation
• Visualization systems for big data
• Sensor networks
• Integrated and Distributed Systems
• Networking and protocols
• Internet of Things (IoT)
• Big Data Platforms and Technologies
• Smart Systems (e.g., energy efficiency systems, smart homes, smart farms)
• Data indexing, cleaning, transformation, and curation technologies
• Concurrent and scalable big data platforms
• Development methods and tools for big data applications
• Big data processing frameworks and technologies
• Open-source development for big data
• Quality evaluation, reliability, and availability of big data systems
• Big Data Foundations
• Big Data as a Service (BDaaS) platforms and technologies
• Programming models, theories, and algorithms for big data
• Theoretical and computational models for big data
• Big Data Applications and Experiences
• Standards, protocols, and quality assurance for big data
• Case studies and real-world implementations of big data systems
• Innovative applications in healthcare, finance, transportation, education, security, urban planning, disaster management, and more
• All paper submissions must be made via:
• Large-scale industrial and academic applications