Swimming in the data lake

Data lake is a storage of large quantities of data that has little to no structure. It combines data from different sources that were originally not intended to be a part of a bigger monitoring infrastructure. In the case of

Martin Molan

My name is Martin Molan. I come from Slovenia and I have just finished the first year of master’s program at IPS at Jozef Stefan Institute in Ljubljana. Before that I obtained a BA in mathematics from University of Ljubljana.

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Anomaly detection of system failures on HPC machines using Machine Learning Techniques

Project reference: 1906 Anomalies detection is one of the timeliest problems in managing HPC facilities. Clearly, this problem involves many technological issues, including big data analysis, machine learning, virtual machines manipulations and authentication protocols. Our research group already prepared a

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