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

dc.contributor.authorGürpınar, Furkan
dc.contributor.authorBisson, Christophe
dc.contributor.authorDiner, Öznur Yaşar
dc.date.accessioned2019-06-27T08:02:28Z
dc.date.available2019-06-27T08:02:28Z
dc.date.issued2015
dc.departmentFakülteler, Fen - Edebiyat Fakültesi, Enformasyon Teknolojileri Bölümüen_US
dc.description.abstractThis 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 networken_US]
dc.description.abstractsuch as centrality and density.en_US]
dc.identifier.citation0
dc.identifier.doi10.1007/978-3-319-16486-1_52en_US
dc.identifier.endpage542
dc.identifier.isbn978-3-319-16486-1
dc.identifier.isbn978-3-319-16485-4
dc.identifier.issn2194-5357en_US
dc.identifier.issn2194-5357
dc.identifier.scopus2-s2.0-84926297321en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage533en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/625
dc.identifier.urihttps://doi.org/10.1007/978-3-319-16486-1_52
dc.identifier.volume353en_US
dc.identifier.wosWOS:000381744400052en_US
dc.identifier.wosqualityN/A
dc.institutionauthorBisson, Christopheen_US
dc.institutionauthorDiner, Öznur Yaşaren_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.journalNew Contributions in Information Systems And Technologies, Vol 1, Pt 1en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectStrategic Early Warning Systemen_US
dc.subjectBayesian networksen_US
dc.subjectGraph theoryen_US
dc.subjectForecastingen_US
dc.subjectMilken_US
dc.titleBayesian and Graph Theory Approaches to Develop Strategic Early Warning Systems for the Milk Marketen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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