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

data mining & big datacomputing

Conference Date

Jan 21-23, 2022

Place

Yokohama, Japan

Submission Deadline

Dec 01, 2021

E-mail

icbdsc@vip.163.com

Telephone

+86-132-9869-9999

Description

==Index==
Ei Compendex, Scopus

¤ICBDSC 2022¤
¤Full Name: 2022 The 5th International Conference on Big Data and Smart Computing (ICBDSC 2022)--EI Compendex, Scopus
*Date: January 21-23, 2022
*Location: Yokohama, Japan
*Website: http://www.icbdsc.org/

★Sponsor: Ambient Intelligence Research Center of Keio university and Institute of mobility culture research center of Keio university as well as Cross-ministerial Strategic Innovation Promotion Program(SIP)

★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.

★History:
ICBDSC 2021 -
Yokohama, Japan(online) | January 16-18, 2021

ICBDSC 2020 -
Sydney, Australia | January 12-15, 2020
ICBDSC 2020 papers already indexed by Ei Compendex and Scopus

ICBDSC 2019 -
Bali, Indonesia | January 10-13, 2019
ICBDSC 2019 papers already indexed by Ei Compendex and Scopus

ICBDSC 2018 -
Casablanca, Morocco | January 4-6, 2018
ICBDSC 2018 papers already indexed by Ei Compendex and Scopus

★Topic:
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

5. 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

6. 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

7. Real-Time Big Data Analytics
*Techniques and Algorithms for Real-Time Big Data Analytics
*Applications and Evaluation of Real-Time Big Data Systems

8. Big Data / Smart Cities
*Big Data for Improving Resilient Infrastructures
*Big Data Applications such as Healthcare and Transportation

9. Smart computing concepts, models and algorithms
*Future Smart Computing Paradigms
*Models of Smart Environments
*Algorithms for Smart Computing

10. Smart Computing Systems
*Security, Privacy, and Economics in Smart Environments
*Cyber-physical System Platforms for Smart Environments
*Middleware Platforms for Smart Environments
*Mobile and Ubiquitous Platforms for Smart Environments

11. Smart Computing Applications
*Smart Precision Agriculture
*Smart Transportation
*Smart FinTech
*Smart Food-Energy-Water Nexus
*Smart Health
*Smart Communities
*Smart Human Environments, Entertainment, and Social Activities
*Smart Energy Management and Analytics

For more topics, please visit our website: www.icbdsc.org

★Committee (ICBDSC)
Conference Chairs:
Yonghui Li, IEEE Fellow, University of Sydney, Australia
Hiroaki Nishi, Keio University, Japan

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
For more committee members, please visit the website: www.icbdsc.org

★Contact Us:
Name:Nana Liu
Email: icbdsc@vip.163.com
Tel: +86-132-9869-9999
Website:www.icbdsc.org

==Index==
Ei Compendex, Scopus