Customer loyalty prediction and implementation using data mining

Author

Lu, Gang ; Lu, Peng ; Qi, Xiufei

Author_Institution

Sch. of Manage. & Eng., Shijiazhuang Univ. of Econ., Shijiazhuang, China

fYear

2011

fDate

27-29 June 2011

Firstpage

3120

Lastpage

3123

Abstract

Cultivating customer loyalty is the objective of enterprise management, have an enormous impact to the enterprise efficiency. In this paper, we apply decision tree algorithm to classify the customer resource, and having mined the ideal customer. Basing on the analysis of customer behavior, to comparative analysis and evaluation of customer loyalty. Finally we achieve customer loyalty assessment and prediction, accomplish the data mining process.

Keywords

customer satisfaction; data mining; decision trees; prediction theory; comparative analysis; customer behavior; customer loyalty assessment; customer loyalty prediction; customer resource; data mining; decision tree algorithm; enterprise efficiency; enterprise management; Business; Data mining; Decision trees; Educational institutions; Electronic mail; Hospitals; Presses; Customer Loyalty; Data Mining; Decision Tree;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Service System (CSSS), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9762-1

Type

conf

DOI

10.1109/CSSS.2011.5972047

Filename

5972047

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2572398