DMS 2010 - IEEE International Workshop on Data Mining for Service (DMS2010)

IEEE International Workshop on Data Mining for Service (DMS2010) held in conjunction with
The 2010 IEEE International Conference on Data Mining (ICDM'10),
Sydney, Australia, 13 December 2010.

SCOPE

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.

TOPICS OF INTEREST

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
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
marketing
corporate strategy
finance
medicine
nursing care
Examples in Marketing
marketing science
consumer behavior
retailing and pricing
advertising
customer relationship management
brand management
innovation

SUBMISSION & PUBLICATION

Paper submissions should be limited to a maximum of 10 pages in the IEEE 2-column format.

http://www.computer.org/portal/web/cscps/formattin...
Please submit your manuscript through the conference submission system at ICDM'10 website. Papers will be reviewed by at least two independent experts for their originality, significance, creativity and applicability.

A "forward to workshops" mechanism will be adopted this year, where a paper not accepted for the conference can be (at the author's request) "fast-tracked" to a workshop, preserving reviews.

All papers accepted for the workshop will be included in the ICDM'10 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'10. All accepted papers must be presented by one of the authors who must register and pay fees.

IMPORTANT DATE

Submissions due: July 23, 2010
Notifications of Acceptance: September 20, 2010
Camera-ready paper due: October 11, 2010
Workshop day: December 13, 2010

WORKSHOP ORGANIZATION

Workshop Co-Chairs
Katsutoshi Yada, Kansai University, Japan (Contact Person)

Yukio Ohsawa, University of Tokyo, Japan
Russ Winer, New York University, USA
Program Committee
Kuiyu Chang, Nanyang Technological University, Singapore.
Michelle Chen, University of Connecticut, USA.
Reinhold Decker, Bielefeld University, Germany.
Peter DE Maeyer, Singapore Management University, Singapore.
Michele Gorgoglione, Politecnico di Bari, Italy.
Tsuyoshi Ide, IBM, Japan.
Oded Koenigsberg, Columbia University, USA.
Rajeev Kohli, Columbia University, USA
Ying Liu, California State University at Long Beach, USA.
Ricardo Montoya, Chille University, Chille.
Oded Netzer, Columbia University, USA.
Dirk Van den Poel, Ghent University, Belgium.
Takashi Washio, Osaka University, Japan.

SPONSOR

Data Mining Laboratory in Kansai University
IEEE SMCS, Technical Committee on Information Systems for Design and Marketing.
DSI Program in Kansai University

CONTACT US

Katsutoshi YADA

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