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Feature Importances as a Tool for Root Cause Analysis in Time-Series Events

AuthID
P-00Y-KD3

Author(s)

Kuk, M

Bobek, S

Veloso, B

Rajaoarisoa, LH

Nalepa, GJ

Editor(es)

Mikyška,J;de Mulatier,C;Krzhizhanovskaya,VV;Sloot,PMA;Paszynski,M;Dongarra,JJ

Tipo de Documento

Proceedings Paper

Year published

2023

Publicado

in Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part V in Lecture Notes in Computer Science, ISSN: 0302-9743

Volume: 14077, Páginas: 408-416 (8)

Conference

23Rd International Conference on Computational Science, Iccs 2023, Date: 3 July 2023 through 5 July 2023, Location: Prague

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Scopus^®

Dblp^®/pt/publications/view/1002915

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Google Scholar^®

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Publication Identifiers

DOI: 10.1007/978-3-031-36030-5_33

DBLP: conf/iccS/KukBVRN23

SCOPUS: 2-s2.0-85200755865

Source Identifiers

ISSN: 0302-9743

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Feature Importances as a Tool for Root Cause Analysis in Time-Series Events

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