Title :
Association rule mining and its application in postal EMS service
Author :
Feng, Duan Yun ; Wei, Li Jian ; De, Song Jun ; Ying, Shu Hua
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
Abstract :
Several algorithms in a data mining technique were studied previously, among which association was one of the most important ones. In this paper, we introduce the theory of association rule in data mining, and analyze the characteristics of the postal EMS service. We create a data warehouse model for EMS services and give the procedure of applying association rule mining based on it. Finally, we give an example of the whole mining procedure. This EMS-data warehouse model and association rule mining technique have been applied in a practical postal CRM system
Keywords :
data mining; data warehouses; postal services; association rule mining; data mart; data warehouse model; fact table; frequency item set; postal EMS service; Association rules; Data analysis; Data mining; Data warehouses; Floods; Frequency; Information technology; Medical services; Pattern analysis; Telecommunications;
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
DOI :
10.1109/ICII.2001.983051