SCOPE

Recently the environment that enterprises face has become increasingly competitive. It is necessary for them to change themselves to achieve sustainable competitive advantages. Therefore, an enterprise must understand consumer behavior in detail, uncover consumer needs, create goods or services corresponding to these needs, and give consumers information about goods or services so that the enterprise continues to be a going concern. However, it has become more and more difficult for enterprises to do this completely because of the diversification of consumer needs, acceleration of product lifecycles, and the flood of information via the internet. So enterprises must re-think their foundations such as business processes and visions. Information technology such as data mining plays an extremely important role in these changes. The aim of this workshop is to discuss information systems to create new value from the viewpoint of marketing in business.

TOPICS OF INTEREST

The workshop is aimed at bringing together researchers from the areas of marketing and data mining. We expect to encourage an exchange of ideas and perceptions through the workshop, focused on marketing and business. We are interested in (but are not limited to):

• Information systems for marketing to understand consumer behavior
• Information systems to integrate marketing and data mining
• New data mining applications and new insights for marketing and business
• Case studies of data mining applications for marketing and business

We are interested in the emergence of new business systems in the real business world, and encouraging new applications of data mining. 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 designing and marketing are also welcome.

Technical issues include (but not limited to)

Examples in Marketing

• marketing science
• consumer behavior
• retailing and pricing
• advertising
• customer relationship management
• brand management
• innovation

Data Mining

• machine learning algorithms and methods
• text and semi-structured data mining
• pattern recognition
• knowledge representation
• statistics and probability
• ontologies and semantic web

SUBMISSION & PUBLICATION

All workshop papers should be submitted through online paper submission system. Please follow the instructions at the SDM 2011 website.

Paper submissions should be limited to a maximum of 10 pages in the SDM 2011 format (single-spaced, 2 column, 10 point font, and at least 1 "margin on each side), roughly 6-8 pages in length is desirable. Authors should use US Letter (8.5" x 11") paper size. Papers must have an abstract with a maximum of 300 words and a keyword list with no more than 6 keywords.

Authors are required to submit their papers electronically in PDF format to https://cmt.research.microsoft.com/DMM2011/ by January 14, 2011.

Papers will be reviewed by at least two independent experts for their originality, significance, creativity and applicability.

Attendees are required to register for SDM 2010 so that no separate registration is needed for this workshop. A one-day registration for the conference is available. Workshop attendees do not have to register at the complete conference rate. Click here for more details.

IMPORTANT DATE

Submissions due: January 14, 2011
Notifications of Acceptance: February 4, 2011
Camera-ready paper due: February 11, 2011

WORKSHOP ORGANIZATION

Workshop Co-Chairs

Katsutoshi Yada, Kansai University, Japan (Contact Person)
Dirk Van den Poel, Ghent University, Belgium

SPONSORS

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

CONTACT US

Katsutoshi YADA (Contact Person)

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