Bayesian and Graph Theory Approaches To Develop Strategic Early Warning Systems for the Milk Market

dc.contributor.author Gürpınar, Furkan
dc.contributor.author A. Bısson, Chrıstophe Louıs
dc.contributor.author Bisson, Christophe
dc.contributor.author Yaşar Diner, Öznur
dc.contributor.author Diner, Öznur Yaşar
dc.contributor.other Management Information Systems
dc.contributor.other Computer Engineering
dc.date.accessioned 2019-06-27T08:02:28Z
dc.date.available 2019-06-27T08:02:28Z
dc.date.issued 2015
dc.department Fakülteler, Fen - Edebiyat Fakültesi, Enformasyon Teknolojileri Bölümü en_US
dc.description.abstract This paper presents frameworks for developing a Strategic Early Warning System allowing the estimatation of the future state of the milk market. Thus this research is in line with the recent call from the EU commission for tools which help to better address such a highly volatile market. We applied different multivariate time series regression and Bayesian networks on a pre-determined map of relations between macro economic indicators. The evaluation of our findings with root mean square error (RMSE) performance score enhances the robustness of the prediction model constructed. Finally we construct a graph to represent the major factors that effect the milk industry and their relationships. We use graph theoretical analysis to give several network measures for this social network en_US]
dc.description.abstract such as centrality and density. en_US]
dc.identifier.citationcount 0
dc.identifier.doi 10.1007/978-3-319-16486-1_52 en_US
dc.identifier.endpage 542
dc.identifier.isbn 978-3-319-16486-1
dc.identifier.isbn 978-3-319-16485-4
dc.identifier.issn 2194-5357 en_US
dc.identifier.issn 2194-5357
dc.identifier.scopus 2-s2.0-84926297321 en_US
dc.identifier.startpage 533 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/625
dc.identifier.uri https://doi.org/10.1007/978-3-319-16486-1_52
dc.identifier.volume 353 en_US
dc.identifier.wos WOS:000381744400052 en_US
dc.institutionauthor Bisson, Christophe en_US
dc.institutionauthor Diner, Öznur Yaşar en_US
dc.language.iso en en_US
dc.publisher Springer-Verlag Berlin en_US
dc.relation.journal New Contributions in Information Systems And Technologies, Vol 1, Pt 1 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 0
dc.subject Strategic Early Warning System en_US
dc.subject Bayesian networks en_US
dc.subject Graph theory en_US
dc.subject Forecasting en_US
dc.subject Milk en_US
dc.title Bayesian and Graph Theory Approaches To Develop Strategic Early Warning Systems for the Milk Market en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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