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DMS 2012 : IEEE International Workshop on Data Mining for Service


When Dec 10, 2012 - Dec 10, 2012
Where Brussels, Belgium
Submission Deadline Aug 10, 2012
Notification Due Oct 1, 2012
Final Version Due Oct 15, 2012
Categories    information system   services   data mining   artificial intelligence

Call For Papers

IEEE International Workshop on Data Mining for Service (DMS2012)
10 December 2012, Brussels, Belgium.

IEEE International Workshop on Data Mining for Service (DMS2012) held in
conjunction with The 2012 IEEE International Conference on Data Mining
(ICDM'12), Brussels, Belgium, 10 December 2012.


In midst of service applications in engineering and the increasing
importance of the service sector in the global economy, services are being
scientifically and much attention is being focused on service science as a
means to improve productivity. Since services are amorphous (they have no
sharp) and have the special characteristic of simultaneously causing both
production and consumption, it has been difficult to research services in a
scientific way. However recently, due to the spread of the internet and
technical innovations in sensor networks, huge amounts of data related to
all kinds of service activities and processes are being collected, and a new
frontier of service research is starting to appear. Given this background,
data mining, which can uncover useful knowledge from such masses of data, is
expected to take an important role in the development of service science.
The focus of this workshop is on empirical findings, methodological papers,
and theoretical and conceptual insights related to data mining in the field
of various service application areas.

The workshop is aimed at bringing together researchers from the areas of the
ice sector and data mining. We expect to encourage an exchange of ideas and
perceptions through the workshop, focused on service and data mining.
Possible topics of interest include, but are not limited to:
* Information systems for service to understand consumer behavior
* Information systems to integrate various services
* New data mining applications and new insights for service science
* Data-oriented service innovation
* Case studies of data mining applications for service science
We are interested in the emergence of new business systems in the real
business world, and encouraging new applications of data mining in service
science. Therefore, submitted papers will be evaluated from the
perspectives of traditional criteria such as technical originality and
prediction accuracy, while also going beyond to consider creativity and
applicability. Case studies that include successes and failures in service
science are also welcome.

Technical issues include (but not limited to)
*Data Mining
-machine learning algorithms and methods
-text and semi-structured data mining
-pattern recognition
-knowledge representation
-statistics and probability
*Areas of Interest
-corporate strategy
-nursing care

Paper submissions should be limited to a maximum of 8 pages in the IEEE
2-column format. More detailed informations are available in the IEEE ICDM
2012 Submission Guidelines.

Please submit your manuscript through the IEEE ICDM Workshop CyberChair
submission system. Papers will be reviewed by at least two independent
experts for their originality, significance, creativity and applicability.

All papers accepted for the workshop will be included in the ICDM'12
Workshop Proceedings published by the IEEE Computer Society Press. Therefore
papers that have already been accepted or are currently under review for
other conferences or journals will not be considered for ICDM and DMS'12.
All accepted papers must be presented by one of the authors who must
register and pay fees.

Submissions due: August 10, 2012
Notifications of Acceptance: October 1, 2012
Camera-ready paper due: October 15, 2012
Workshop day: December 10, 2012

Workshop Co-chairs
Shusaku Tsumoto, Shimane University, Japan
Katsutoshi Yada, Kansai University, Japan (Contact Person)
PC member
Daniel Baier, Brandenburg University of Technology Cottbus, Germany.
Kuiyu Chang, Nanyang Technological University, Singapore.
Michelle Chen, University of Connecticut, USA.
Yan Chow, Kaiser Permanente Information Technology, USA
Peter DE Maeyer, Singapore Management University, Singapore.
Reinhold Decker, Bielefeld University, Germany.
Naoki Katoh, Kyoto University, Japan.
Rajeev Kohli, Columbia University, USA.
Oded Netzer, Columbia University, USA.
Dirk Van den Poel, Ghent University, Belgium.
Roman Slowinski, Poznan Institute of Technology, Poland
Takashi Washio, Osaka University, Japan.

Katsutoshi Yada

Faculty of Commerce, Kansai University.
3-3-35, Yamate-cho, Suita-shi, OSAKA, 564-8680, JAPAN.
Tel: +81-6-6368-1121(ex.5392)

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