DMS2024 | International Workshop on Data Mining for Service

WORKSHOP

IEEE International Workshop on Data Mining for Service (DMS2024) will be held in conjunction with
The 2024 IEEE International Conference on Data Mining (ICDM'2024)on December 9-12, 2024.
The confenrence/workshop venue will be presented in Abu Dhabi, UAE.
DMS workshop will be held on December 9th.
20 papers were submitted and 9 papers were accepted by strict review.
Thank you for your contribution!!

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 and underlying business process. 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 the measurements, including 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 emerging as an important branch of data science. Given this background, data mining, which can uncover useful knowledge from such masses of data, is expected to take a crucial role in the development of service science and innovation of new services. 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 service 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

Especially, this year, we focus on the topics related to Big Data in the workshop.
This workshop will discuss specific uses of data mining techniques for Big Data to create new service.
Possible topics of interest include below:

* New service and Big Data
* Novel model and Big Data
* Any service application of data mining using Big Data

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.

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 8 pages, and follow the IEEE ICDM format. More detailed informations are available in the IEEE ICDM 2024 Submission Guidelines.

Please submit your manuscript through the DMS 2024 submission site.

All accepted papers will be included in the ICDM'24 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.

Submission and Review Guidelines. https://icdm2024.org/call_for_papers/
Registration info. https://icdm2024.org/registration/

IMPORTANT DATE

Submissions due: September 10, 2024
Notifications of Acceptance: October 7, 2024
Camera-ready deadline and copyright forms: October 11, 2024
Registration: October 15, 2024
Workshop day: December 9, 2024

WORKSHOP ORGANIZATION

Workshop-Chair

Shusaku Tsumoto, Shimane University, Japan
Katsutoshi Yada, Kansai University, Japan

Program Committee

Daniel Baier, Brandenburg University of Technology Cottbus, Germany
Kuiyu Chang, Nanyang Technological University, Singapore
Michelle Chen, San Jose State University, USA
Yan Chow, Kaiser Permanente Information Technology, USA
Jiming Liu, Hong Kong Baptist University, Hong Kong
Peter DE Maeyer, Singapore Management University, Singapore
Reinhold Decker, Bielefeld University, Germany
Naoki Katoh, Kyoto University, Japan
Rajeev Kohli, Columbia University, USA
Oded Koenigsberg, Columbia University, USA
Hiroshi Nakajima, OMRON, Japan
Oded Netzer, Columbia University, USA
Dirk Van den Poel, Ghent University, Belgium
Roman Slowinski, Poznan Institute of Technology, Poland
Takashi Washio, Osaka University, Japan

CONTACT US

Katsutoshi Yada
Faculty of Business and Commerce, Kansai University, Japan
Email: yada@kansai-u.ac.jp

Shusaku Tsumoto
Department of Medical Informatics, Faculty of Medicine, Shimane University, Japan
Email: tsumoto@med.shimane-u.ac.jp