@book{fea0a56e04f5430ab81f7718766ee6c2,
title = "Applying Data Mining for Early Warning food supply networks",
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.",
keywords = "voedselvoorziening, voedselkwaliteit, controle, gegevens verzamelen, datamining, netwerken, food supply, food quality, control, data collection, data mining, networks",
author = "Y. Li and M.R. Kramer and A.J.M. Beulens and {van der Vorst}, J.G.A.J.",
year = "2006",
language = "English",
series = "Working paper / Mansholt Graduate School : Discussion paper",
publisher = "Wageningen University",
address = "Netherlands",
}