|Invited Session on "Data Mining and Service Science for Innovation"
in the KES 2010 (http://kes2010.kesinternational.org/ ).
8-10 September, 2010, in Cardiff, UK.
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.
Technical issues include (but not limited to)
Text and semi-structured data mining
Statistics and probability
Service Ontologies and Modeling
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 2010 website.
KES 210 submission system (PROSE)
Please select IS18 "Data Mining and Service Science for Innovation"
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.
Submissions due: March 1, 2010 New submissions due: April 10, 2010
Notifications of Acceptance: April 24, 2010
Camera-ready Paper due: May 1, 2010
Early Registration: May 8, 2010
Conference Date: September 8-10, 2010.
DSI Project in Kansai University
Data Mining Laboratory in Kansai University
IEEE SMCS, Technical Committee on Information Systems for Design and Marketing
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
Katsutoshi Yada (Kansai University, Japan)
Takahira Yamaguchi (Keio University, Japan)
Director of Data Mining Laboratory, Kansai University.
OSAKA, 564-8680, JAPAN.