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DMS 2018 - IEEE International Workshop on Data Mining for Service (DMS2018)

Date2018-11-17

Deadline2018-08-07

VenueSingapore, Singapore Singapore

Keywords

Websitehttps://www2.kansai-u.ac.jp/dslab/worksh...

Topics/Call fo Papers

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

Last modified: 2018-07-08 23:03:16