International Conference on Big Data and Smart Computing ICBDSC on January 21-23, 2022 in Yokohama, Japan

International Conference on Big Data and Smart Computing ICBDSC on January 21-23, 2022 in Yokohama, Japan

International Conference on Big Data and Smart Computing (ICBDSC) January 21, 2022 - Yokohama, Japan

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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