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• W2170705931 abstract "In food supply networks, quality of end products is a critical issue. The quality of food products depends in a complex way on many factors. In order to effectively control food quality, our research aims at implementing early warning and proactive control systems in food supply networks. To exploit the large amounts of operational data collected throughout such a network, we employ data mining in various settings. This paper investigates the requirements on data mining posed by early warning in food supply networks, and maps those requirements to available data mining methods. Results of a preliminary case study show that data mining is a promising approach as part of early warning systems in food supply networks." @default.
• W2170705931 created "2016-06-24" @default.
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• W2170705931 date "2006-01-01" @default.
• W2170705931 modified "2023-09-26" @default.
• W2170705931 title "Applying Data Mining for Early Warning food supply networks" @default.
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• W2170705931 hasPublicationYear "2006" @default.
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