INFORMATION
Invited Session on "Service-oriented Data Science" in KES 2020 (http://kes2020.kesinternational.org/)
16-18 September, 2020, Verona, Italy.
Details of Session (including aim and scope):
This invited session focuses on service-oriented data science. In recent years, service applications in various fields become more and more important and much attention is being focused on service science. Data science is a key role in the development of service systems and innovation. We want to attract researchers and business people whose expertise is related to service and data science and encourage the sharing of knowledge.
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 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).
IMPORTANT DATE
Submission of papers: 3 April 2020 15 May 2020
Notification of acceptance: 1 May 2020 5 June 2020
Final paper to be received by: 29 May 2020 19 June 2020
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.itc.kansai-u.ac.jp/~yada/hp/en/index.html
E-mail: yada@kansai-u.ac.jp
[Contact email for this session]
yadalab.conf@gmail.com