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A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data
This work presents a data-driven method for identifying rare functional dependencies among components of different systems of Complex Technical Infrastructures (CTIs) from large-scale databases of alarm messages. It is based on the representation of the alarm data in a binary form, the use of a nove...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.eswa.2021.114560 http://cds.cern.ch/record/2808728 |