Invited Session on "Data Mining and Service Science for Innovation"
http://www2.ipcku.kansai-u.ac.jp/~yada/conf/kes12/
in the KES 2012 (http://kes2012.kesinternational.org/ ).
10-12 September, 2012, in San Sebastian, Spain. |
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SCOPE
This special session focuses on service science for innovation and data mining, one of its key technologies. In service science, data mining which discovers useful knowledge from large scale data is an important technology which provides a scientific basis as a spark for innovation. In this session, we aim to attract researchers in data mining (computer science, etc.) and service related fields, and encourage sharing of information among them.
TOPICS
Technical issues include (but not limited to)
<Techniques>
Data mining
Machine learning
Text and semi-structured data mining
Pattern recognition
Knowledge representation
Statistics and probability
Service Ontologies and Modeling
<Service Applications>
Engineering
Management
Marketing
Operation process
Medical treatment
Public administration
SUBMISSION
All Invited Session papers should be submitted through PROSE online paper
submission system. (PROSE submission system will open soon.) Please follow
the instructions at the KES 2012 website.
Papers will be reviewed by independent experts for their originarity, significance,
creativity and applicability. All accepted papers must be presented by
one of the authors who must register and pay fees.
The papers should be no longer than 10 pages in LNCS format.
IMPORTANT DATE
Submission of papers: by 30 April, 2012. 14 May, 2012.
Notification of Acceptance: by 20 May, 2012.
Receipt of publication files: by 1 June, 2012.
Early / Authors Registration Deadline: June 11, 2012
This is a hard deadline and will not be extended.
Please register as soon as your paper is accepted.
Conference Date: September 10-12, 2012.
SPONSOR
DSI Project in Kansai University
Data Mining Laboratory in Kansai University
IEEE SMCS, Technical Committee on Information Systems for Design and Marketing
CONTACT US
Session Chair:
Katsutoshi Yada (Kansai University, Japan)
Session Co-chair
Takahira Yamaguchi (Keio University, Japan)
Keiji Takai (Kansai University, Japan)
[Contact Person]
Katsutoshi Yada
Director of Data Mining Laboratory, Kansai University.
OSAKA, 564-8680, JAPAN.
http://www2.ipcku.kansai-u.ac.jp/~yada/english/profile.html
E-mail: yadalab.conf@gmail.com
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