Open AccessThe good, the bad and the outliers: automated detection of errors and outliers from groundwater hydrographs
Author(s) -
Tim Peterson,
Andrew W. Western,
Cheng Xiang
Publication year - 2017
Publication title -
hydrogeology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.939
H-Index - 98
eISSN - 1435-0157
pISSN - 1431-2174
DOI - 10.1007/s10040-017-1660-7
Subject(s) - outlier , hydrograph , anomaly detection , data mining , computer science , hydrogeology , variance (accounting) , groundwater , process (computing) , calibration , statistics , artificial intelligence , geology , geography , mathematics , cartography , drainage basin , geotechnical engineering , accounting , business , operating system
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