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Intelligent Systems in Modeling Phase of Information Mining Development Process Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Matching Rule Discovery Using Classification for Product-Service Design

Authors : A. F. Zakaria, S. C. J. Lim

Published in: Trends in Applied Knowledge-Based Systems and Data Science

Publisher: Springer International Publishing

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Abstract

Product-service design plays an important role in offering an optimal mix of product and accompanied service for the best customer experience and satisfaction. Previously, there are a number of design methods in literature that are focused at proposing the best combination of product and service package pertaining to customer requirements. However, the relationship between product and service elements from the perspective of customer demographics is less emphasized. In this study, we proposed a methodology to discover the matching relationship between product and service from the perspective of customer demographics. We detailed how a survey can be designed and conducted using openly available product and service information. A classification algorithm, C4.5, is applied to discover the possible product-service relationships. In order to showcase our approach, a case study of mobile phone choices and telecommunication services is presented. We have also discussed our results with some indication for future works.

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Footnotes
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Metadata
Title
Matching Rule Discovery Using Classification for Product-Service Design
Authors
A. F. Zakaria
S. C. J. Lim
Copyright Year
2016
Book
Trends in Applied Knowledge-Based Systems and Data Science

Print ISBN: 978-3-319-42006-6

Electronic ISBN: 978-3-319-42007-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-42007-3_4

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