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Applying Data Mining for Early Warning in Food Supply Networks
BibTeX
@MISC{Li_applyingdata,
author = {Yuan Li and Mark R. Kramer and Adrie J. M. Beulens and Yuan Li and Mark R. Kramer},
title = {Applying Data Mining for Early Warning in Food Supply Networks},
year = {}
}
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Abstract
Working Papers are interim reports on work of Mansholt Graduate School (MGS) and have received only limited reviews 1. Each paper is refereed by one member of the Editorial Board and one member outside the board. Views or opinions expressed in them do not necessarily represent those of the Mansholt Graduate School. The Mansholt Graduate School’s researchers are based in three departments: ‘Social Sciences’, ‘Environmental Sciences ' and 'Agrotechnology and Food sciences ' and two institutes: 'LEI, Agricultural Economics Research Institute ' and 'Alterra, Research Institute for the Green World'. In total Mansholt Graduate School comprises about 250 researchers. Mansholt Graduate School is specialised in social scientific analyses of the rural areas and the agri- and food chains. The Graduate School is known for its disciplinary and interdisciplinary work on theoretical and empirical issues concerning the transformation of agriculture, rural areas and chains towards multifunctionality and sustainability. Comments on the Working Papers are welcome and should be addressed directly to the author(s).
Keyphrases
data mining mansholt graduate school food supply network early warning rural area social science total mansholt graduate school graduate school research institute interim report chain towards multifunctionality empirical issue agricultural economics research institute food chain working paper limited review social scientific analysis mansholt graduate school researcher environmental science editorial board green world interdisciplinary work food science
