2022 The 5th International Conference on Big Data and Smart Computing (ICBDSC 2022)

Conference / Summit (onsite)
Big Data & Analytics Cloud Computing

Address: Keio University Hospital Hiyoshi New Laboratory Building (Raiosha Building), Yokohama, Japan
Date: 21 to 23 Jan '22

Visit Event Website


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: icbdsc@vip.163.com 

Tel: +86-132-9869-9999 

2022 the 5th International Conference on Big Data and Smart Computing (ICBDSC 2022) will take place in Yokohama, Japan on January 21-23, 2022 as a workshop of ICSIM 2022.

The conference is addressed to academics, researchers and professionals with a particular interest related to the conference topic. It brings together academics, researchers and professionals in the field of Big Data and Smart Computing making the conference a perfect platform to share experience, foster collaborations across industry and academia, and evaluate emerging technologies across the globe.

Submissions may be targeted within, but not limited to, the following major topics and sub-topics:

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

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

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

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   

Big Data Applications

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

Big Data Foundations

Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards

2022 the 5th International Conference on Big Data and Smart Computing (ICBDSC 2022) will take place in Yokohama, Japan on January 21-23, 2022 as a workshop of ICSIM 2022.

The conference is addressed to academics, researchers and professionals with a particular interest related to the conference topic. It brings together academics, researchers and professionals in the field of Big Data and Smart Computing making the conference a perfect platform to share experience, foster collaborations across industry and academia, and evaluate emerging technologies across the globe.

Submissions may be targeted within, but not limited to, the following major topics and sub-topics:

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

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

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

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   

Big Data Applications

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

Big Data Foundations

Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards

Venue

Keio University Hospital Hiyoshi New Laboratory Building (Raiosha Building)

Organizer

youngnd

Venue

Keio University Hospital Hiyoshi New Laboratory Building (Raiosha Building)

Organizer

youngnd

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