Open AccessOutlier detection with ontology-driven fault contextualization in the Industry 4.0
Author(s) -
Dionei Miodutzki,
César Augusto Tacla,
Luiz Gomes-Jr
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbbd.2022.224309
Subject(s) - troubleshooting , computer science , outlier , identification (biology) , scalability , anomaly detection , contextualization , inference , ontology , data mining , fault detection and isolation , fault (geology) , process (computing) , data science , artificial intelligence , interpretation (philosophy) , database , philosophy , botany , epistemology , seismology , actuator , biology , programming language , geology , operating system
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