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

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.