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Second project of the web and text mining course consisting of an analysis of data provided by the Digital Bibliography & Library Project (DBLP).

This project is to investigate the hardness of classification of time series based on their features

Java/Python code examples for Spark lectures

Docker for the operational calculation of the soil moisture anomalies (SMA)