Invited Session on "Data Science for Big Data"
KES-2016
5, 6 & 7 Sept. 2016 in York, UK |
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Details of Session (including aim and scope):
This special session focuses on Data Science and Big Data which are two of the hottest research
areas in computer science and business. In recent years, Big Data has attracted many researchers
and business people in various fields. Big Data is a resource which creates added value by using a
data science approach leading to significant innovations. We want to attract researchers and business
people whose expertise is related to Big Data and Data Science, and encourage the sharing of
information.
TOPICS
Technical issues include (but are not limited to):
<Techniques>
Cloud/Grid computing
High performance computing
Data mining
Machine learning
Text and semi-structured data mining
Pattern recognition
Knowledge representation
Statistics and probability
Service Ontologies and Modelling
<Applications>
Engineering
Management
Marketing
Operation process
Medical treatment
Public administration
SUBMISSION
Submissions for the conference must be made as complete papers (there is no abstract submission stage)
submitted as PDF documents through the
PROSE online submission and review system.
Full papers should be detailed academic articles in conventional format.
The guide length for full papers is 8 to 10 pages (maximum).
Guidance notes for the preparation of Full Papers is available
.. here ..
An MS Word template is available (5.2Mbyte .docm file)
.. here ..
A LaTeX template is available (7Mbyte .rar archive)
.. here ..
The paper format as a PDF document is available
.. here ..
Please consult important FAQs about document preparation to be found
.. here ..
IMPORTANT DATE
Submission of papers: 10 April 2016 Extended 8 May 2016 Extended 16 May 2016
Notification of acceptance: 5 May 2016 Extended 20 May 2016 Extended 24 May 2016
Final paper to be received by: 25 May 2016 Extended 30 May 2016
SPONSOR
Data Science Laboratory in Kansai University
Program Committee
Michelle Chen, University of Connecticut
Michele Gorgoglione, Politecnico di Bari
Naoki Katoh, Kyoto University
Wataru Sunayama, Hiroshima City University
Shusaku Tsumoto, Shimane University
Dirk Van den Poel, Ghent University
Takashi Washio, Osaka University
CONTACT US
Session Chair:
Katsutoshi Yada, Professor, Kansai University
Takahira Yamaguchi, Professor, Keio University
[Contact Person]
Katsutoshi Yada, Ph.D.
Professor of Management Information System
Data Science Laboratory, Kansai University.
OSAKA, 564-8680, JAPAN.
http://www2.kansai-u.ac.jp/dslab/en/index.html
E-mail: yada@kansai-u.ac.jp
[Contact email for this session]
yadalab.conf@gmail.com
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