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Traditional help desk service relies heavily on the expertise of service personnel. This article describes an intelligent data mining technique that combines neural network and rule-based reasoning with case-based reasoning to mine information from the customer service database for online machine fault diagnosis. This technique has been implemented into a help-desk system that supports online machine fault diagnosis over the Internet.
Date of Publication: Oct. 2001