Data Mining and Serice Science for Innovation 本文へジャンプ
Invited Session on "Data Mining and Service Science for Innovation"
in KES 2010

Invited Session on "Data Mining and Service Science for Innovation"
in the KES 2010 ( ).
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)

Data mining
Machine learning
Text and semi-structured data mining
Pattern recognition
Knowledge representation
Statistics and probability

<Service Applications>
Operation process
Medical treatment
Public administration
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

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

Session Chair:
Katsutoshi Yada (Kansai University, Japan)

Session Co-chair
Takahira Yamaguchi (Keio University, Japan)

[Contact Person]
Katsutoshi Yada
Director of Data Mining Laboratory, Kansai University.
OSAKA, 564-8680, JAPAN.