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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...

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Detalles Bibliográficos
Autores principales: Antonello, Federico, Baraldi, Piero, Shokry, Ahmed, Zio, Enrico, Gentile, Ugo, Serio, Luigi
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1016/j.eswa.2021.114560
http://cds.cern.ch/record/2808728