Calls for papers


International Journal of Knowledge Engineering and Soft Data Paradigms
International Journal of Knowledge Engineering and Soft Data Paradigms


Special Issue on: "Data Mining and Service Science for Innovation"

Guest Editor:
Katsutoshi Yada, Kansai University, Japan

Recently, in developing countries as well as developed countries, the percentage of service industries accounting for industrial structure has increased rapidly. In business, for example, management, marketing, engineering and other services are important factors for inter-company competition, and service productivity is expected to increase through scientific observation and deeper understanding of the services. Improving existing services or establishing new ones based on knowledge gained from data is particularly a source of important innovation and feedback is being gathered from many researchers or and practitioners.

This special issue aims to investigate how data analysis techniques such as data mining aid in reforming existing services or in forming new ones. The issue aims to propose future directions through the awareness of the research gap in data analysis techniques and service sciences, and to gather further research into service science based on a wide range of data. The issue will provide a communication platform to aid the exchange of new ideas between people involved in service management and data scientists. Furthermore, we hope to propose new topics, models, analysis methods and theories relating to service science, based on the issue’s data.

Subject Coverage
Suitable topics include, but are not limited to, the following:

  • Techniques
    • Data mining
    • Machine learning
    • Text and semi-structured data mining
    • Pattern recognition
    • Knowledge representation
    • Statistics and probability
    • Service ontologies and modelling
  • Service applications
    • Engineering
    • Management
    • Marketing
    • Operation processes
    • Medical treatment
    • Public administration

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscripts due by: 20 July, 2015

Notification to authors: 21 September, 2015

Final versions due by: 20 November, 2015