The IEEE International Conference on Big Data (IEEE BigData 2024) covers topics such as:
- Big Data Infrastructure
- High Performance/Parallel Computing Platforms for Big Data
- Cloud/Grid/Stream Computing for Big Data
- Energy-efficient Computing for Big Data
- Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
- Software Techniques and Architectures in Cloud/Grid/Stream Computing
- Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
- New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
- Big Data Open Platforms
- Software Systems to Support Big Data Computing
- Big Data Science and Foundations
- New Computational Models for Big Data
- Novel Theoretical Models for Big Data
- New Data Standards
- Data and Information Quality for Big Data
- Big Data Search and Mining
- Web Search
- Social Web Search and Mining
- Distributed, and Peer-to-peer Search
- Algorithms and Systems for Big Data Search
- Data Acquisition, Integration, Cleaning, and Best Practices
- Big Data Search Architectures, Scalability and Efficiency
- Computational Modeling and Data Integration
- Visualization Analytics for Big Data
- Cloud/Grid/StreamData Mining- Big Velocity Data
- Large-scale Recommendation Systems and Social Media Systems
- Semantic-based Data Mining and Data Pre-processing
- Link and Graph Mining
- Multimedia and Multi-structured Data-Big Variety Data
- Mobility and Big Data
- Big Data Management
- Algorithms and Systems for Big Data Search
- Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
- Big Data Search Architectures, Scalability and Efficiency
- Distributed, and Peer-to-peer Search
- Visualization Analytics for Big Data
- Data Acquisition, Integration, Cleaning, and Best Practices
- Large-scale Recommendation Systems and Social Media Systems
- Computational Modeling and Data Integration
- Link and Graph Mining
- Cloud/Grid/Stream Data Mining- Big Velocity Data
- Mobility and Big Data
- Semantic-based Data Mining and Data Pre-processing
- Multimedia and Multi-structured Data- Big Variety Data
- Data Ecosystem
- Ecosystem services and management
- Data ecosystem concepts, theory, structure, and process
- Trust, resilience, privacy, and security issues
- Methods for data exchange, monetization, and pricing
- Trust management in Big Data systems
- Privacy preserving Big Data collection/analytics
- Experimental studies of fairness, diversity, accountability, and transparency
- Ecosystem assessment, valuation, and sustainability
- Big Data Learning and Analytics
- Machine learning algorithms for Big Data
- Predictive analytics on Big Data
- Feature representation learning for Big Data
- Deep learning for Big Data
- Physics informed Big Data learning
- Dimension redution for Big Data
- Big Data Applications
- Big Data Analytics in Small Business Enterprises (SMEs)
- Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
- Real-life Case Studies of Value Creation through Big Data Analytics
- Big Data Analytics in Government, Public Sector and Society in General
- Big Data Industry Standards
- Big Data as a Service
- Experiences with Big Data Project Deployments
The IEEE International Conference on Big Data (IEEE BigData 2024) will be held in Washington, United States on 15-18 Dec 2024.
