10th International Conference on Big Data Management (ICBDM 2027)

The 10th International Conference on Big Data Management (ICBDM 2027) covers advancements in big data management, focusing on data search, mining, privacy, security, analytics, and real-world applications across various industries.

Key Topics

• 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
• Social Web Search and Mining
• Multimedia and Multi-structured Data- Big Variety Data
• Algorithms and Systems for Big Data Search
• Web Search
• 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/StreamData Mining- Big Velocity Data
• Mobility and Big Data
• Semantic-based Data Mining and Data Pre-processing
• Intrusion Detection for Gigabit Networks
• Multimedia and Multi-structured Data-Big Variety Data
• High Performance Cryptography
• Anomaly and APT Detection in Very Large Scale Systems
• Threat Detection using Big Data Analytics
• Visualizing Large Scale Security Data
• Privacy Preserving Big Data Collection/Analytics
• Privacy Threats of Big Data
• User Studies for any of the above
• HCI Challenges for Big Data Security & Privacy
• Trust management in IoT and other Big Data Systems
• Sociological Aspects of Big Data Privacy
• 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