The 8th IEEE International Conference on Data Science and Systems
(DSS-2022)

Dec. 18-21, 2022, Chengdu

Sponsored by
IEEE, IEEE Computer Society, IEEE Technical Committee of Scalable Computing (TCSC) and IEEE CPSS

INTRODUCTION

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. 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.

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. 2021 is the 7th event following the success in 2015 (DSDIS-2015), 2016 (DSS-2016), 2017 (DSS-2017) ，2018 (DSS-2018) , 2019 (DSS-2019) , 2020 (DSS-2020) and 2021 (DSS-2021).

SCOPE AND TOPICS

Topics of interest include, but are not limited to:

I. Data Science

• Foundational Theories of Data Science
• Data Classification and Taxonomy
• Data Metrics and Metrology
• Data Analytics
• Complex Network Analysis and Mining
• Security, Privacy and Trust in Data

II. 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 visualization
• Data Visualization

III. 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

IV. 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

IMPORTANT DATES

PAPER SUBMISSION GUIDELINE

All papers need to be submitted electronically through the conference submission website : https://edas.info/N29970 with PDF format. 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).

Manuscript Templates for Conference Proceedings can be found at:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html

Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference.