Introduction

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.

Call for paper

Submission Topics

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

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Important Date

  • Nov 18

    2017

    Conference Date

  • Nov 18 2017

    Registration deadline

Sponsored By
IEEE 计算机学会
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