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The structure of the information system for analysing time series of hydrochemical monitoring data
Author(s) -
O. P. Lutsenko,
О. G. Baybuz,
N. P. Sherstuk
Publication year - 2017
Publication title -
actual problems of automation and information technology
Language(s) - English
Resource type - Journals
eISSN - 2313-5301
pISSN - 2312-119X
DOI - 10.15421/431711
Subject(s) - series (stratigraphy) , time series , computer science , data science , data mining , geology , paleontology , machine learning

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