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Data mining and machine learning to enhance data analysis for atmospheric science research

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The scientific media is brimming with Artificial Intelligence related buzzwords such as data mining and machine learning . But what do these terms really mean? And can we put these techniques to work in our own research? Data mining can be defined as the process of analysing hidden patterns of data to provide useful information, whereas machine learning is the science of making a computer (or machine) learn from data without being explicitly programmed, the machine is then subsequently able to perform automatic tasks. These methods have been widely used in a number of applications, from robotics to aerospace, from environmental to physical sciences. SMEAR II Hyytiälä visit to observe atmospheric measurements As with other scientific disciplines, these methods have shown strong potential in atmospheric research, especially related to INAR research activities. This is thanks to the large and high-quality data sets generated by INAR infrastructure and research facilities, including the S