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Author:Hui, S.C.
Jha, G.
Title:Data mining for customer service support
Journal:Information & Management
2000 : OCT, VOL. 38:1, p. 1-13
Index terms:Data mining
Knowledge management
Customers
Service
Decision making
Freeterms:Support
WWW
Language:eng
Abstract:In traditional customer service support of a manufacturing environment, a customer service database usually stores two types of service information: (1) unstructured customer service reports record machine problems and its remedial actions and (2) structured data on sales, employees, and customers for day-to-day management operations. This paper investigates how to apply data mining techniques to extract knowledge from the database to support two kinds of customer service activities: decision support and machine fault diagnosis. A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support.
SCIMA record nr: 219470
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