DocumentCode
532045
Title
Research on prediction model and fuzzy rules extraction in Maersk´s customer management
Author
Yu, Tian ; Zhang Iinna ; Youfang, Huang
Author_Institution
Coll. of Logistics Eng., Shanghai Maritime Univ., Shanghai, China
Volume
8
fYear
2010
fDate
22-24 Oct. 2010
Abstract
The advent of data mining has contributed significantly to the field of customer management. The payment center in Maersk finds that it´s 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.
Keywords
customer relationship management; data mining; fuzzy set theory; knowledge representation; neural nets; pattern classification; Maersk; artificial neural network; customer management; data mining; fuzzy rules extraction; knowledge representation; Book reviews; Decision making; Delay; Discharges; Loading; artificial neural networks; customer management; data mining; fuzzy rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5619356
Filename
5619356
Link To Document