Research on Prediction Model and Fuzzy Rules Extraction in Maersks Customer Management
The advent of data mining has contributed significantly to the field of customer management. The payment center in Maersk finds that its difficult to charge customers for the balance due. Thus the research on the application of artificial neural networks in classification of data mining will be conducted in this paper. Since the knowledge captured by neural networks is represented at a sub-symbolic level in terms of connections and weights, the paper aims at not only designing an artificial neural network prediction model for the time of delay payment but also extracting fuzzy production rules, a humanly understandable representation for neural networks. The simple rules with high predictive accuracy rules really help the enterprise to solve customer management to a certain degree.
data mining artificial neural networks fuzzy rules customer management
Tian yu Zhang linna Huang youfang
College of Logistics Engineering Shanghai Maritime University Shanghai 200135, China
国际会议
太原
英文
200-203
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）