Abstract
With the globalization of market and economy, more and more enterprises realize that it is more and more important to improve the competiveness of enterprise and after-sales service system. Traditional after-sales service system only focuses on the business process of the system and ignores a lot of important information in various after-sales service data. Data mining is a Knowledge Discovery in Database. It can help to find out some potential and valuable information and knowledge from daily experiences in favor of decision-making. The paper combines the design thought of data mining and J2EE architecture technology to analyze the application of data mining to after-sales service.
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Hongxia, Y., Ping, M., Yuqing, S. (2013). Enterprise After-Sales Management System Based on J2EE. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53703-5_51
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DOI: https://doi.org/10.1007/978-3-642-53703-5_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53702-8
Online ISBN: 978-3-642-53703-5
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