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A study of the applicability of recommender systems for the Production and Distributed Analysis system PanDA of the ATLAS Experiment
Scientific computing has advanced in a way of how to deal with massive amounts of data, since the production capacities have increased significantly for the last decades. Most large science experiments require vast computing and data storage resources in order to provide results or predictions based...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1085/4/042028 http://cds.cern.ch/record/2290160 |