Prof. Yedilkhan Amirgaliyev
Institute of Information and Computing Technologies, Almaty, Kazakhstan
Data-driven approaches and their industrial application
Methods of data mining are developed for many scientific areas and therefore contain different patter of the specifics of these disciplines. Moreover, these methods are currently widely used in different industry areas. The data mining algorithms can generate different solutions for the same data, which motivates scientists to improve it. The main goal of mining methods is to search for existing structures, patterns, and features in the collected data. Historical data from various sources make it possible to model complex processes in energy generation in renewable energy sources such as solar heliocollectors and biogas plants, automate the process of interpreting geophysical data, and assess soil salinity using remote sensing data.