Conference Information
ICBDM 2024: International Conference on Big Data in Management
https://www.icbdm.net/
Submission Date:
2024-10-10
Notification Date:
2024-10-25
Conference Date:
2024-12-14
Location:
Chiang Mai, Thailand
Years:
5
Viewed: 672   Tracked: 0   Attend: 0

Call For Papers
Papers related to the conference theme are especially solicited, including theories, methodologies, and emerging applications. The following contributions, including but not limited to the following technical areas, are invited:

• Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
• Algorithms and Systems for Big Data Search
• Distributed, and Peer-to-peer Search
• Big Data Search Architectures, Scalability and Efficiency
• Data Acquisition, Integration, Cleaning, and Best Practices
• Visualization Analytics for Big Data
• Computational Modeling and Data Integration
• Large-scale Recommendation Systems and Social Media Systems
• Cloud/Grid/Stream Data Mining- Big Velocity Data
• Link and Graph Mining
• Semantic-based Data Mining and Data Pre-processing
• Mobility and Big Data
• Multimedia and Multi-structured Data- Big Variety Data
• Social Web Search and Mining
• Web Search
• Intrusion Detection for Gigabit Networks
• Anomaly and APT Detection in Very Large Scale Systems
• High Performance Cryptography
• Visualizing Large Scale Security Data
• Threat Detection using Big Data Analytics
• Privacy Threats of Big Data
• Privacy Preserving Big Data Collection/Analytics
• HCI Challenges for Big Data Security & Privacy
• User Studies for any of the above
• Sociological Aspects of Big Data Privacy
• Trust management in IoT and other Big Data Systems
• Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
• Big Data Analytics in Small Business Enterprises (SMEs)
• Big Data Analytics in Government, Public Sector and Society in General
• Real-life Case Studies of Value Creation through Big Data Analytics
• Big Data as a Service
• Big Data Industry Standards
• Experiences with Big Data Project Deployments
Last updated by Dou Sun in 2024-09-15
Recommendation