DocumentCode :
3324339
Title :
Application of data mining technology in the tourism product´s marketing CRM
Author :
Shenglei Pei
Author_Institution :
Sch. of Phys. & Electron. Inf. Eng., Qinghai Univ. for Nat., Xining, China
fYear :
2013
fDate :
23-24 Dec. 2013
Firstpage :
400
Lastpage :
403
Abstract :
To carry out Customer Relationship Management (CRM) is necessary to improve enterprises´ core competition ability. CRM focus on customer resource management by using information technology, in order to assist managers to make practical decisions. And data mining and data warehouse technology are powerful tools to improve the rightness and accuracy of CRM. As a simple and efficient classification technology decision tree is a member of data mining family. This paper referred the advanced ideas and systematic theory research of CRM. And with the combination of the actuality of tourism industry, we built a CRM system for tourism industry based on data warehouse and data mining technology. [1]We analyzed CRM system structure and functional modules with application program, and introduced the characteristics of data storage integration and information processing and analysis.
Keywords :
customer relationship management; data analysis; data mining; data warehouses; decision trees; pattern classification; travel industry; CRM functional modules; CRM system structure; application program; classification technology; customer relationship management; customer resource management; data mining technology; data storage integration; data warehouse; decision tree; information analysis; information processing; tourism industry; tourism product marketing; Association rules; Customer relationship management; Databases; Decision trees; Industries; Instrumentation and measurement; CRM in tourism industry; Customer relationship management; Data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/IMSNA.2013.6743300
Filename :
6743300
Link To Document :
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