The 6th IEEE International Conference on Data Science and Systems

DSS 2020


Data Mining & Analysis Databases & Information Systems



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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, optimization, signal processing, information retrieval, databases, cloud computing, computer vision, natural language processing, etc. Data Science is on the essence of deriving valuable insights from data. It is emerging to meet the challenges of processing very large datasets, i.e. Big Data, with the explosion of new data continuously generated from various channels, such as smart devices, web, mobile and social media.
Data Systems are posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. With this continuing data explosion, it is necessary to store and process data efficiently by utilizing enormous computing power. The importance of data intensive systems has been raising and will continue to be the foremost fields of research. This raise brings up many research issues, in forms of capturing and accessing data effectively and fast, processing it while still achieving high performance and high throughput, and storing it efficiently for future use. Innovative programming models, high performance scalable computing platforms, efficient storage systems and expression of data requirements are at immediate need.Extended versions of selected best papers will appear in SCIE-indexed international journals, such as Information Fusion (IF: 10.716), IEEE Transactions on Industrial Informatics (IF: 7.377), Future Generation Computer Systems (IF: 5.768), Journal of Cloud Computing (IF: 2.14), Software: Practice and Experience (IF: 1.931), MDPI Electronics (IF: 1.764) and IEEE/CAA Journal of Automatics Sinica.
DSS (Data Science and Systems) was created to 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. 2020 is the 6th event following the success in 2015 (DSDIS-2015), 2016 (DSS-2016), 2017 (DSS-2017) ,2018 (DSS-2018) and 2019 (DSS-2019).
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PROCEEDINGS & SPECIAL ISSUES
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All accepted papers in the main tracks, workshops, special sessions, WiP and
poster sessions will be published in an IEEE Computer Society proceedings
(EI indexed).
Extended versions of selected excellent papers will be considered
for publication in the following special issues of the journals.(confirmed)
1.Information Fusion (IF: 10.716)
SI on Fusion from Big Data to Smart Data
2. Information Fusion (IF: 10.716)
SI on Data Fusion for Trust Evaluation
3. IEEE Transactions on Industrial Informatics (IF: 7.377)
SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation
4. Future Generation Computer Systems (IF: 5.768)
SI on Artificial Intelligence for Cyber Defence and Smart Policing
5.Journal of Cloud Computing (IF: 2.14)
SI on Security and Privacy Issues for AI in Edge-Cloud Computing
6. Software: Practice and Experience (IF: 1.931)
SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems
7. MDPI Electronics (IF: 1.764)
SI on Blockchain-based Technology for Mobile Application
8. IEEE/CAA Journal of Automatics Sinica
SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges
*More special issues will be added later.
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Topics of interest include, but are not limited to
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Track 1: Data Science
 Foundational theories and models
 Data classification and taxonomy
 Data metrics and metrology
 Machine learning and deep learning
 Data provenance
 Security, privacy and trust in data
Track 2: Data Processing Technology
 Data sensing, fusion and mining
 Data representation and processing
 Knowledge discovery
 Information visualization
 Meta-data management
 Remote data access
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
 Healthcare and medical services
 Applications in soil and water
 HPC systems for data applications
 Future data applications
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IMPORTANT DATES
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Regular/Workshop/Special Session/Work-in-Progress/Poster/Demo Papers:
Submission Due: September 1, 2020
Acceptance Notification: October 15, 2020
Camera-ready Manuscript Due: November 10, 2020
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SUBMISSION GUIDELINES
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Submitted papers need to abide by IEEE Computer Society formats, and
must be submitted via http://cse.stfx.ca/~dss/2020/.
Contacts:
Dr. Yaliang Zhao
E-mail: ylzhao@stfx.ca
Mobile:(+86)13937818018