Association rule mining and its application in postal EMS service

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 fo...

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Bibliographic Details
Main Authors: Duan Yun Feng, Li Jian Wei, Song Jun De, Shu Hua Ying
Format: Conference Proceeding
Language:English
Subjects:
Association rules
Data analysis
Data mining
Data warehouses
Floods
Frequency
Information technology
Medical services
Pattern analysis
Telecommunications
Online Access:Request full text
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Summary: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.
DOI:10.1109/ICII.2001.983051