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Mining Informative Hydrologic Data by Using Support Vector Machines and Elucidating Mined Data according to Information Entropy
2015
Entropy
The support vector machine is used as a data mining technique to extract informative hydrologic data on the basis of a strong relationship between error tolerance and the number of support vectors. Hydrologic data of flash flood events in the Lan-Yang River basin in Taiwan were used for the case study. Various percentages (from 50% to 10%) of hydrologic data, including those for flood stage and rainfall data, were mined and used as informative data to characterize a flood hydrograph.
doi:10.3390/e17031023
fatcat:3umbwq3p7rfkfb4z76iwp5rvh4