WORKSHOP
IEEE International Workshop on Data Mining for Service (DMS2011) held in conjunction with
The 2011 IEEE International Conference on Data Mining
(ICDM'2011),
Vancouver, Canada, December 11th, 2011.
SCOPE
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.
TOPICS
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 minimum of 6 pages to a maximum of 8 pages in the IEEE 2-column format. More detailed informations are available in the IEEE ICDM 2011 Submission Guidelines.
Please submit your manuscript through the DMS 2011 submission site.
All accepted papers will be included in the ICDM'11 Workshop Proceedings published by the IEEE Computer Society Press. Therefore, papers must not have been accepted for publication elsewhere or be under review for another workshop, conferences or journals.
Publication of accepted papers is conditional on the registration to ICDM 2011 of at least one author.
IMPORTANT DATE
Submissions due: August 5, 2011
Notifications of Acceptance: September 20, 2011
Camera-ready paper due: October 11, 2011
Workshop day: December 11,2011
WORKSHOP ORGANIZATION
Workshop-Chair
- Katsutoshi Yada, Kansai University, Japan
Program Committee
- Kuiyu Chang, Nanyang Technological University, Singapore
- Michelle Chen,University of San Francisco, USA
- Peter DE Maeyer, Singapore Management University, Singapore
- 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, University of Chile, Chile
- Oded Netzer,Columbia University, USA
- Dirk Van den Poel, Ghent University, Belgium
- Takashi Washio, Osaka University, Japan
LINKs
Sponsors
- Data Mining Laboratory in Kansai University
(Funded by Strategic Project to Support the Formation of Research Bases at Private Universities) - IEEE SMCS, Technical Committee on Information Systems for Design and Marketing
Past Workshops
CONTACT US
Katsutoshi YADA
Faculty of Commerce, Kansai University
3-3-35, Yamate-cho, Suita-shi, OSAKA, 564-8680, JAPAN
E-mail: ieee.dms
gmail.com
Tel: +81-6-6368-1121(ex.5392)
