******************************* IEEE DSS-2018 CFP
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*The 4th IEEE International Conference on Data Science and Systems
(DSS-2018) *
*Exeter, England, UK, 28-30 June 2018 *
*Sponsored by*
IEEE, IEEE Computer Society, and IEEE Technical Committee of Scalable
Computing (TCSC).
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.
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.
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. DSS-2018 will be hosted in Exeter, the capital city of Devon
and provides the county with a central base for education, medicine,
religion, commerce and culture. The city is also home to the magnificent
Exeter Cathedral, which dates back to Norman times. Exeter is also ideally
placed to base a trip to branch out visiting places such as the famous
Dartmoor National Park and the unspoilt beaches of the North and South
Devon coastlines.
Prospective authors are invited to submit their papers to DSS-2018. All
accepted papers are expected to be included in IEEE Xplore and will be
indexed by Engineering Index (EI). The authors of selected best papers will
be invited post conference to extend their contributions for special issues
of prestigious journals to be planned in conjunction with the conference.
SCOPE AND TOPICS
================
Topics of interest include, but are not limited to:
Track 1: Data Science
Track 2: Data Processing Technology
Track 3: Data Systems
Track 4: Data Applications
IMPORTANT DATES
================
· Paper Submission Deadline: 10 February 2018
· Authors Notification: 15 April 2018
· Camera-Ready Paper Due: 15 May 2018
· Early Registration Due: 15 May 2018
· Conference Date: 28-30 June 2018
PAPER SUBMISSION GUIDELINE
==========================
All papers need to be submitted electronically through the conference
submission website ( http://dss.ex.ac.uk/ ) 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). You
can confirm the IEEE Computer Society Proceedings Author Guidelines at the
following web page:
http://www.computer.org/web/cs-cps/ 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.
JOURNAL SPECIAL ISSUES
======================
Distinguished papers selected from the conferences and associated
workshops, after further extensions, will be recommended for submission and
publication in the following prestigious journals or their Special Issues:
- IEEE Transactions on Sustainable Computing (IEEE Computer Society)
- Concurrency and Computation: Practice and Experience (Wiley)
- Multimedia Tools and Applications (Springer)
- Expert Systems Journal (Wiley)
- Cognitive Computation journal (Springer)
- Big Data Analytics (BioMed Central/Springer)
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