Application of Knowledge Discovery in Databases in Evapotranspiration Estimation: an Experiment in the State of Rio de Janeiro
作者： Kate Cerqueira Revoredo , Fernando Xavier , Asterio Kiyoshi Tanaka
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摘要: With the growing volume of data in various areas such as Hydrology, there is a need for using information systems to aid handling data. This article report an experiment that used knowledge discovery techniques estimate important component hydrological cycle: evapotranspiration. The reported this was done with weather and showed some algorithms, M5P, present good results when compared historical estimated
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