[hpc-announce] CFP: IEEE DSS 2023 (Data Science and Systems), Dec. 2023

[Jesson Butt]

Call for papers:

The 9th IEEE International Conference on Data Science and Systems (DSS
2023), 17-21 Dec. 2023, Melbourne, Australia.

Website: http://www.swinflow.org/confs/2023/dss/

Key dates:
Submission Deadline: August 25, 2023
Notification: October 15, 2023
Final Manuscript Due: October 30, 2023

Submission site: http://www.swinflow.org/confs/2023/dss/submission.htm

Publication:
Proceedings will be published by IEEE CS Press. Distinguished papers will
be invited to  special issues of selected journals listed on the conference
website.

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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 and 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
raised 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. 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.

Scope and Topics

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

Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the
corresponding author and should not exceed 8 pages for main conference,
including tables and figures in IEEE CS format. The template files
for LATEX or WORD can be downloaded here. All paper submissions must
represent original and unpublished work. Each submission will be peer
reviewed by at least three program committee members. Submission of a paper
should be regarded as an undertaking that, should the paper be accepted, at
least one
of the authors will register for the conference and present the work.
Submit your paper(s) in PDF file at the submission site:
http://www.swinflow.org/confs/2023/dss/submission.htm.

Publications
Proceedings will be published by IEEE CS Press. Distinguished papers will
be invited to  special issues of selected journals listed on the conference
website.

General Chairs
Jamal Deen, McMaster University, Canada
Stephen S. Yau, Arizona State University, USA

Program Chairs
Dong Yuan, The University of Sydney, Australia
Deepak Puthal, Khalifa University, UAE