Extração de conhecimento a partir de bancos de dados oceanográficos mistos

In oceanographic studies is common the use of different data bases in order to correlate common structures that show evidence of a certain aspect. Like oceanographic and meteorological data obtained through satellites probes and another made available by international research corporations. This paper aims at applying a knowledge extraction process in order to correlate data from remote sensing like ocean temperature and chlorophyll-a levels with fish catch data from fishing companies. More specifically, to correlate the abundance of live resource skipjack tuna (Katsuwonus Pelamis) with these environmental parameters from satellite sensors.