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Analytical Customer Requirement Analysis Based on Data Mining
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Author(s): Jianxin Jiao (Nanyang Technological University, Singapore), Yiyang Zhang (Nanyang Technological University, Singapore)and Martin Helander (Nanyang Technological University, Singapore)
Copyright: 2006
Pages: 21
Source title:
Business Applications and Computational Intelligence
Source Author(s)/Editor(s): Kevin Voges (University of Canterbury, New Zealand)and Nigel Pope (Griffith University, Australia)
DOI: 10.4018/978-1-59140-702-7.ch012
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Abstract
This chapter applies data-mining techniques to help manufacturing companies analyze their customers’ requirements. Customer requirement analysis has been well recognized as one of the principal factors in product development for achieving success in the marketplace. Due to the difficulties inherent in the customer requirement analysis process, reusing knowledge from historical data suggests itself as a natural technique to facilitate the handling of requirement information and the tradeoffs among many customers, marketing and engineering concerns. This chapter proposes to apply data-mining techniques to infer the latent information from historical data and thereby improve the customer requirement analysis process.
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