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 2009

Invited Session on "Data Mining and Service Science for Innovation"
in the KES 2009 ( ).
28-30 September, 2009, in Santiago, Chile.


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


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.

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.

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

Session Chair:
Yada, Katsutoshi (Kansai University, Japan)

[Contact Person]
Katsutoshi Yada
Faculty of Commerce, Kansai University.
OSAKA, 564-8680, JAPAN.