Invited Session on "Data Mining and Service Science for Innovation"
http://www2.ipcku.kansai-u.ac.jp/~yada/conf/kes09/
in the KES 2009 (http://kes2009.kesinternational.org/ ).
28-30 September, 2009, in Santiago, Chile. |
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SCOPE
This invited 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 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 2009 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 eight pages in LNCS format.
IMPORTANT DATE
Submissions due: March 29, 2009 April 13, 2009. (extended)
Notifications of Acceptance: April 20, 2009
Camera-ready Paper due: May 1, 2009
Early Registration: May 1, 2009
Conference Date: September 28-30, 2009.
SPONSOR
DSI Project in Kansai University
Data Mining 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:
Yada, Katsutoshi (Kansai University, Japan)
[Contact Person]
Katsutoshi Yada Faculty of Commerce, Kansai University.
OSAKA, 564-8680, JAPAN. http://www2.ipcku.kansai-u.ac.jp/~yada/frame3e.html
E-mail: yadalab.conf@gmail.com
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