Trend Analysis of Product Function Using Sequential Pattern Mining

Abstract:

During the early stage of product design, it is important for design engineers to decide the most appropriate functions for various customers. To facilitate this time consuming task, sequential pattern mining is applied to uncover the useful patterns in historical database. The mined sequential patterns can reflect the dynamic change of product functions, which can help design engineers find the most suitable product functions for customers. Based on the historical sales transactions of computer, a case study is conducted to illustrate the proposed method.

• Periodical: Applied Mechanics and Materials (Volumes 519-520)
• Pages: 736-740
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.519-520.736
• Online since: February 2014
• Authors: Li Yu*, Zai Fang Zhang
• Keywords: AprioriAll, Mass Customization, Product Function, Sequential Pattern Mining

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