
Data Mining of Spatio-Temporal Variability of Chlorophyll-a Concentrations in a Portion of the Western Atlantic with Low Performance Hardware
Author(s) -
Italo F. Di Paolo,
Nelson A. Gouveia,
Luiz C. Ferreira Neto,
Eduardo Tavares Páes,
Nandamudi Lankalapalli Vijaykumar,
Ádamo Lima de Santana
Publication year - 2019
Publication title -
journal of software engineering and applications
Language(s) - English
Resource type - Journals
eISSN - 1945-3124
pISSN - 1945-3116
DOI - 10.4236/jsea.2019.125010
Subject(s) - reliability (semiconductor) , computer science , identification (biology) , missing data , data mining , field (mathematics) , inference , interpolation (computer graphics) , scope (computer science) , remote sensing , scale (ratio) , satellite , focus (optics) , environmental science , geography , cartography , frame (networking) , machine learning , artificial intelligence , engineering , telecommunications , ecology , mathematics , power (physics) , physics , optics , quantum mechanics , pure mathematics , biology , programming language , aerospace engineering