Title :
Data mining application in banking-customer relationship management
Author :
Ping, Zhao Li ; Liang, Shu Qi
Author_Institution :
Inf. Technol., Jingdezhen Ceramic Inst., Jingdezhen, China
Abstract :
In this thesis, we will introduce the concepts of data mining technology and customer relationship management to analyze the advantages and disadvantages of decision tree and neural network. With the decision tree and neural network fusion algorithm, we shall find its necessity in bank-customers management system application in the banking sector development and will explain the detailed applications of fusion algorithm in customer relationship management in the banking system.
Keywords :
bank data processing; customer relationship management; data mining; decision trees; neural nets; banking sector development; banking system; banking-customer relationship management; data mining application; data mining technology; decision tree; neural network fusion algorithm; Art; Neurons; Decision tree; Neural network; customer relationship management; data mining;
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
DOI :
10.1109/ICCASM.2010.5619002