★Proceedings:

Submitted papers will be Peer-Reviewed (Double Blind) and the accepted ones will be collected in the ACM conference proceedings(ISBN: 978-1-4503-8895-5), which indexed in Ei Compendex, Scopus, IET etc. major databases.

 

★History:

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.

 

Technical Committee:

Dariusz Alterman, The University of Newcastle, Australia;

Eunmi Choi, Kookmin University, South Korea;

Pasi Fr?nti, University of Eastern Finland, Finland;

Prabhat K. Mahanti, University of New Brunswick, Canada;

Ahmed A. Moustafa, Western Sydney University, Australia;

Yusuke Nozaki, Meijo University, Japan;

Han Qiu, Xi'an Polytechnic University, China;

Jaroslav Rozman, Brno University of Technology, Czech Republic;

Aimin Wang, Beijing Institute of Technology, China;

Ching-Seh Wu, San Jose State University, United States;

Masaya Yoshikawa, Meijo University, Japan;

Jiannan Zhai, Florida Atlantic University,USA;

Niansong Zhang, Nanjing University of Science and Technology, China.

 

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

 

★Contact Us:

Name：Nana Liu

Email: [email protected]

Tel: +86-132-9869-9999

Website：www.icbdsc.org