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Analytical Customer Requirement Analysis Based on Data Mining

Analytical Customer Requirement Analysis Based on Data Mining

Jianxin ("Roger") Jiao, Yiyang Zhang, Martin Helander
Copyright: © 2008 |Pages: 18
ISBN13: 9781599049519|ISBN10: 1599049511|EISBN13: 9781599049526
DOI: 10.4018/978-1-59904-951-9.ch175
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MLA

Jiao, Jianxin ("Roger"), et al. "Analytical Customer Requirement Analysis Based on Data Mining." Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, IGI Global, 2008, pp. 2798-2815. https://doi.org/10.4018/978-1-59904-951-9.ch175

APA

Jiao, J. R., Zhang, Y., & Helander, M. (2008). Analytical Customer Requirement Analysis Based on Data Mining. In J. Wang (Ed.), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (pp. 2798-2815). IGI Global. https://doi.org/10.4018/978-1-59904-951-9.ch175

Chicago

Jiao, Jianxin ("Roger"), Yiyang Zhang, and Martin Helander. "Analytical Customer Requirement Analysis Based on Data Mining." In Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, 2798-2815. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-951-9.ch175

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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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