Topics of interest include (but are not limited to) the following:
Big Data Analytics and Machine Learning
- Algorithms and systems for big data analytics
- Big data Machine learning, predictive and causal analytics
- Visualization and visual analytics systems for big data
- Knowledge modeling, extraction, discovery, analysis, and presentation
- Big data Business intelligence
- Optimization and agentic models for big data
- Artificial intelligence models at scale
- Large language models
- Neuro-symbolic approaches at large scale
Integrated and Distributed Systems
- Sensor networks
- Internet of Things, web of things
- Networking and protocols
- Smart Systems (such as energy efficiency systems, smart homes, smart farms, etc.)
Big Data Platforms and Technologies
- Innovative, concurrent, and scalable big data platforms
- Data indexing, cleaning, transformation, and curation technologies
- Big data processing frameworks and technologies
- Big data services and application development methods and tools
- Big data quality evaluation and assurance technologies
- Big data system reliability, dependability, and availability
- Open-source development and technology for big data
- Big Data as a Service (BDaaS) platform and technologies
Big Data Foundations
- Foundational theoretical or computational models for big data
- Programming models, theories, and algorithms for big data
- Standards, protocols, and quality assurance for big data
Big Data Applications and Experiences
- Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, security
- Experiences and case studies of big data applications and services
- Real-world and large-scale practices of big data