The 7th IEEE International Conference on Data Science and Systems (IEEE DSS-2021) Conference will be held at Haikou, China, on December 17-19, 2021. Due to the global COVID-19 pandemic, IEEE DSS-2021 will be held in the form of hybrid event (online & in-person). You are cordially invited to submit your contribution until September 30, 2021.

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INTRODUCTION
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As an interdisciplinary area, Data Science draws scientific inquiry from a broad range of subject areas such as statistics, mathematics, computer science, machine learning, data mining, optimization, information retrieval, databases, cloud computing, social science, network science, computer vision, natural language processing, etc. Data Science is on the essence of deriving valuable insights from data. With the continuing data explosion in many fields, such as sciences and engineering, finance, media, online information resources, it is necessary to develop data intensive systems to process such large volumes of data. This brings up many research issues, in forms of capturing and accessing data effectively and efficiently, processing it while still achieving high performance and high throughput, and storing it efficiently for future use.

The 7th IEEE International Conference on Data Science and Systems (IEEE DSS-2021) is the next event in a series of successful events, i.e., DSDIS-2015, DSS-2016, DSS-2017, DSS-2018, DSS-2019 and DSS-2020. DSS-2021 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). DSS-2021 will provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Data Science and Data Systems as well as their synergy. DSS-2021 will be hosted in Haikou, the capital city of Hainan Province. Haikou is a beautiful city with comfortable climate and first-class ecological environment.

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IMPORTANT DATES
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Paper Submission Deadline: September 30, 2021
Authors Notification: October 24, 2021
Camera-Ready Paper Due: November 24, 2021
Conference Date: December 17 - 19, 2021

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PROCEEDINGS & SPECIAL ISSUES
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All accepted papers will be published in an IEEE Computer Society proceeding (EI indexed). Extended versions of selected excellent papers will be considered for publication in the following special issues of the journals:
1.IEEE Transactions on Intelligent Transportation Systems
SI: Graph-based Machine Learning for Intelligent Transportation Systems

2. IEEE Transactions on Intelligent Transportation Systems
SI: Data Science for Cooperative Intelligent Transportation Systems

3. IEEE Transactions on Network Science and Engineering
SI: The Nexus Between Edge Computing and AI for 6G Networks

4.IEEE/ACM Transactions on Computational Biology and Bioinformatics
SI: Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare

5.IET Communications
SI: Intelligent Metasurfaces for Smart Connectivity

6.Security and Communication Networks
SI: Protocols, Technologies, and Infrastructures for Secure Mobile Video Communications

7. MDPI Sensors
SI: Recent Advances in Algorithm and Distributed Computing for the Internet of Things

8. International Journal of Distributed Sensor Networks
SI: Privacy-Preserving Solutions in the Internet of Things

9. Building and Environment
SI: AI and IoT Applications of Smart Buildings and Smart Environment Design, Construction and Maintenance

10. Journal of Systems Architecture
SI: Cloud-Edge-End Architecture for Internet of Things Applications

11. Information Processes
SI: "Crossing “Data, Information, Knowledge, and Wisdom” Models—Challenges, Solutions, and Recommendations"

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Topics of interest include, but are not limited to
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Track 1: Data Science
 Foundational Theories of Data Science
 Data Classification and Taxonomy
 Data Metrics and Metrology
 Data Analytics
 Social Network Analysis and Mining
 Security, Privacy and Trust in Data
Track 2: Data Processing Technology
 Data Representation and Processing
 Machine Learning and Deep Learning
 Graph Neural Networks
 Semi-supervised and Unsupervised Learning
 Statistical, Mathematical and Probabilistic Modeling and Theories
 Information Retrieval
 Data Visualization
Track 3: Data Systems
 Storage and File Systems
 High Performance Access Toolkits
 Compiler and Runtime Support
 Real-time Data Intensive Systems
 Multi/many-core Platforms
 Big Data and Cloud Computing
Track 4: Data Applications
 Business and Finance Applications
 Industrial Data Applications
 Bioinformatics Applications
 Healthcare and Medical Services
 Applications in Soil and Water
 HPC Systems for Data Applications
 Future Data Applications

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SUBMISSION GUIDELINES
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The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single spaced, 10 fonts). Papers need to be submitted as PDF via the site: https://edas.info/N28861