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, 14 December 2010.
We have 6 accepted papers out of 25 submissions. Thank you for your interest!!


In midst of service applications in engineering and the increasing importance of the service sector in the global economy, services are being scientific and much attention is being focused on service science as a means to improve productivity. Since services are amorphous (they have no shape) 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:

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



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

Please submit your manuscript through the ICDM'10 Workshop Submission Site below. Papers will be reviewed by at least two independent experts for their originality, significance, creativity and applicability.

Workshop #15

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.


Submissions due: August 9, 2010 (EXTENDED NEW DEADLINES!!)
Notifications of Acceptance: September 20, 2010
Camera-ready paper due: October 11, 2010
Workshop day: December 14, 2010


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 San Francisco, 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


Data Mining Laboratory in Kansai University
(Funded by Strategic Project to Support the Formation of Research Bases at Private Universities)

DSI Program in Kansai University

IEEE SMCS, Technical Committee on Information Systems for Design and Marketing


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)