International Conference on Big Data and Smart Computing ICBDSC on January 21-23, 2022 in Yokohama, Japan
- Short Name: ICBDSC
- Event Type: Conference
- Presentation: Physical
- Website URL: http://www.icbdsc.org/
- Program URL: http://www.icbdsc.org/schedule.html
- Contact URL: http://www.icbdsc.org/contact.html
- Contact E-mail: [email protected]
- Location: Yokohama, Japan
- Date: January 21-23, 2022
- Final Submission: December 01, 2021
- Organization: youngnd
- Conference Tags: human-centered computing big data biomedical computing computing big data analysis
Proceedings:
Submitted papers will be Peer-Reviewed (Double Blind) and the accepted ones will be collected in the conference proceedings submit to be indexed in Ei Compendex, Scopus, IET etc. major databases.
Program Chairs:
T.Ohtsuki, Keio University, Japan (IEEE Senior Member and IEICE Fellow)
Suhuai Luo, University of Newcastle Australia, Australia
Program Co-chairs:
Xiangjian (Sean) He, University of Technology Sydney (UTS), Australia(IEEE Senior Member)
Ke Qin, University of Science and Technology of China, China
Contact Us:
Name:Nana Liu
Email: [email protected]
Tel: +86-132-9869-9999
1. Big Data Infrastructure
*Cloud/Grid/Stream Computing for Big Data
*High Performance/Parallel Computing Platforms for Big Data
*Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
*Energy-efficient Computing for Big Data
*Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
*Software Techniques and Architectures in Cloud/Grid/Stream Computing
*Big Data Open Platforms
*New Programming Models for Big Data beyond
*Hadoop/MapReduce, STORM
*Software Systems to Support Big Data Computing
2. Big Data Management
*Advanced database and Web Applications
*Novel Data Model and Databases for Emerging Hardware
*Data Preservation
*Data Provenance
*Interfaces to Database Systems and Analytics Software Systems
*Data Protection, Integrity and Privacy Standards and Policies
*Information Integration and Heterogeneous and Multi-structured Data Integration
*Data management for Mobile and Pervasive Computing
*Data Management in the Social Web
*Crowdsourcing
*Spatiotemporal and Stream Data Management
*Scientific Data Management
*Workflow Optimization
*Database Management Challenges: Architecture, Storage, User Interfaces
3. Big Data Search and Mining
*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
*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
4. Big Data Security & Privacy
*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
Name: youngnd
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