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https://www.sciencedirect.com/science/article/pii/S0378720600000513
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.Cited by: 262
https://www.researchgate.net/publication/222532116_Data_mining_for_customer_service_support
A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support. In addition, a data mining …
https://www.sciencedirect.com/science/article/abs/pii/S0378720600000513
A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support. In addition, a data mining technique that integrates neural network, case-based reasoning, and rule-based reasoning is proposed; it would search the unstructured customer service records for machine fault ...Cited by: 262
https://www.semanticscholar.org/paper/Data-mining-for-customer-service-support-Hui-Jha/667542d91ed15745247010d91465b50e3062ff76
A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support. In addition, a data mining technique that integrates neural network, case-based reasoning, and rule-based reasoning is proposed; it would search the unstructured customer service records for machine fault ...
https://www.deepdyve.com/lp/elsevier/data-mining-for-customer-service-support-0Im1dx1QIt
Oct 01, 2000 · A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support. In addition, a data mining technique that integrates neural network, case-based reasoning, and rule-based reasoning is proposed; it would search the unstructured customer service records for machine fault ...
http://isiarticles.com/bundles/Article/pre/pdf/21003.pdf
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.
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