2021 2nd International Conference on
Big Data in Management (ICBDM 2021) will be held in
Shanghai, China during November 12-14, 2021. The goal of the ICBDM2021 is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data in Management. ICBDM2020 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data.
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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
• 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
• Cloud/Grid/StreamData Mining- Big Velocity Data
• Link and Graph Mining
• Large-scale Recommendation Systems and Social Media Systems
• Semantic-based Data Mining and Data Pre-processing
• Mobility and Big Data
• Multimedia and Multi-structured Data-Big Variety Data
• 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
WHY SHOULD YOU ATTEND ICBDM
- Learn about products, implementation strategies, industry trends
- Build Relationship with Colleagues who are Specialists in Different Areas of Big Data in Management
- Share your experiences and lessons learned with other enthusiasts
- Discover innovative solutions to enhance the performance
