Extraction of Events in Agribusiness Data Marts of Brazil Using Tucker Decomposition

dc.contributor.author	João Gama	en
dc.contributor.author	Fernando E. Correa	en
dc.contributor.author	Lucílio R. A. Alves	en
dc.contributor.author	Pedro L. P. Corrêa	en
dc.contributor.author	Márcia Barbosa Oliveira	en
dc.date.accessioned	2017-11-17T11:43:25Z
dc.date.available	2017-11-17T11:43:25Z
dc.date.issued	2011	en
dc.description.abstract	Agribusiness produces huge amounts of spatio-temporal data. In this paper, we explore Tucker tensor decomposition in the discovery of evolution patterns and key events from Brazilian agribusiness temporal data. Our specific goal is to automatically detect time windows that exhibit large changes in the time-series of prices from the Brazilian grain market.	en
dc.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/3175
dc.language	eng	en
dc.relation	5299	en
dc.relation	5120	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.title	Extraction of Events in Agribusiness Data Marts of Brazil Using Tucker Decomposition	en
dc.type	conferenceObject	en
dc.type	Publication	en