Ruey-Chyi Wu

Publications (2)0 Total impact

• Source

  Available from: ruey shun Chen

  Conference Proceeding: Data mining application in customer relationship management of credit card business

  Ruey-Chyi Wu, Ruey-Shun Chen, C.-C.C.J.Y. Chen
  [show abstract] [hide abstract]
  ABSTRACT: First, we classify the selected customers into clusters using RFM model to identify high-profit, gold customers. Subsequently, we carry out data mining using association rules algorithm. We measure the similarity, difference and modified difference of mined association rules based on three rules, i.e. emerging pattern rule, unexpected change rule, and added/perished rule. In the meantime, we use rule matching threshold to derive all types of rules and explore the rules with significant change based on the degree of change measured. In this paper, we employ data mining tools and effectively discover the current spending pattern of customers and trends of behavioral change, which allow management to detect in a large database potential changes of customer preference, and provide as early as possible products and services desired by the customers to expand the clientele base and prevent customer attrition.
  Computer Software and Applications Conference, 2005. COMPSAC 2005. 29th Annual International; 08/2005
• Conference Proceeding: Using data mining technology to design an intelligent CIM system for IC manufacturing

  Ruey-Shun Chen, Ruey-Chyi Wu, C C Chang
  [show abstract] [hide abstract]
  ABSTRACT: This paper aims to explain a specific intelligent computer integrated manufacturing system by integrating the following five major domains: computer integrated manufacturing, data warehouse, online analytical processing, data mining and artificial intelligence. The data mining system makes use of the decision tree algorithm and classification model in exploring the meaningful information, which is useful in the process of decision making. Subsequently, the rules discovered by the data mining system are expressed through the rule based knowledge presentation method of the expert system. The intelligent CIM system is applied to semiconductor packing factories and also point at the great fluctuation of dynamic random access memory prices. The contribution can increase business competitiveness, reduce production cost, and promote the rate of available promise for order.
  Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2005 and First ACIS International Workshop on Self-Assembling Wireless Networks. SNPD/SAWN 2005. Sixth International Conference on; 06/2005