2021年第四届大数据和智能计算国际会议(ICBDSC 2021)

ACM出版--2021年第四届大数据和智能计算国际会议(ICBDSC 2021)--EI核心, Scopus检索

*时间：2021年1月16日至18日

*地点：日本, 横滨

*网址：www.icbdsc.org

★论文集：

所有注册并发表的文章将会收录到会议论文集中，将由权威刊物International Conference Proceedings Series by ACM出版（ISBN编号：978-1-4503-7690-7)，并由Ei Compendex、Scopus、IET等主要数据库检索

★历史：

ICBDSC 2020 - 

悉尼，澳大利亚| 2020年1月12日至15日

ICBDSC2020论文已经被ACM电子图书馆收录

ICBDSC 2019 - 

印尼巴厘岛| 2019年1月10日至13日

ICBDSC2019论文已经被ACM电子图书馆收录

ICBDSC 2018 -

卡萨布兰卡, 摩洛哥| 2018年1月4日至6日

ICBDSC2018已经被Ei compendex 和 Scopus 检索

★征稿主题:

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

更多主题请参看我们的网址：www.icbdsc.org

★委员会(ICBDSC)

大会主席

Prof Suhuai Luo, University of Newcastle Australia, Australia

Prof.Yonghui Li, IEEE Fellow, University of Sydney, Australia

程序委员会主席

Prof. Paul Lajbcygier, Monash University, Australia

Prof. Eko K. Budiardjo, University of Indonesia, Indonesia

Prof. Ke Qin, University of Science and Technology of China, China

当地组织委员会

Dr. Hadi Sutopo, Kalbis Institute, Indonesia

Prof. I Nengah Suparta, Universitas Pendidikan Ganesha (Undiksha), Indonesia

技术委员会

Dr. Fuhua (Oscar) Lin, Athabasca University Alberta, Canada

Asst. Prof. Bruneo Dario, University of Messina, Italy

Dr. Chua Chin Heng Matthew, National University of Singapore, Singapore

Dr Malka N. Halgamuge, The University of Melbourne, Australia

Dr. Michael Opoku Agyeman, The University of Northampton, UK

Dr. Jiannan Zhai, Florida Atlantic University, USA

Asst. Prof. Gabriele Mencagli, University of Pisa, Italy

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

Assoc. Prof. Bart Custers, Leiden University, Netherlands

Prof. Kyeong-Seok HAN, Soongsil University, Korea

Dr. Paulo Batista, University of évora, Portugal 

Dr. Devesh Agrawal, Uber Technologies, San Francisco, USA

Dr. Jiannan Zhai, Florida Atlantic University, USA

Prof. Pasi Fr?nti, University of Eastern, Finland

Assoc. Prof. Simon James Fong, University of Macau, China

Dr. Ali Yavari, Swinburne University of Technology, Australia

Assoc. Prof. Han Qiu, Xi'an Polytechnic University, China

Prof. Juntae Kim, Dongguk University, Korea

更多委员会信息，请查看会议官网：www.icbdsc.org

★联系方式：

姓名：Nana Liu

邮箱：icbdsc@vip.163.com

电话号码：+86-132-9869-9999

官网：www.icbdsc.org