The 6th International Conference on Big Data in Management (ICBDM 2025)

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
• Cloud/Grid/StreamData Mining- Big Velocity Data
• Computational Modeling and Data Integration
• Large-scale Recommendation Systems and Social Media Systems
• Link and Graph Mining
• Semantic-based Data Mining and Data Pre-processing
• Multimedia and Multi-structured Data-Big Variety Data
• Mobility and Big Data
• Anomaly and APT Detection in Very Large Scale Systems
• Intrusion Detection for Gigabit Networks
• Visualizing Large Scale Security Data
• High Performance Cryptography
• Privacy Threats of Big Data
• Threat Detection using Big Data Analytics
• HCI Challenges for Big Data Security & Privacy
• Privacy Preserving Big Data Collection/Analytics
• Sociological Aspects of Big Data Privacy
• User Studies for any of the above
• Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
• Trust management in IoT and other Big Data Systems
• Big Data Analytics in Government, Public Sector and Society in General
• Big Data Analytics in Small Business Enterprises (SMEs)
• Big Data as a Service
• Real-life Case Studies of Value Creation through Big Data Analytics
• Experiences with Big Data Project Deployments
• Big Data Industry Standards