Publication:

FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning

Date

2021
Journal article
https://doi.org/10.1016/j.future.2020.10.015
Simple item page Full metadata Statistics
 
dc.contributor.authorSteenwinckel, Bram
dc.contributor.authorDe Paepe, Dieter
dc.contributor.authorHautte, Sander Vanden
dc.contributor.authorHeyvaert, Pieter
dc.contributor.authorBentefrit, Mohamed
dc.contributor.authorMoens, Pieter
dc.contributor.authorDimou, Anastasia
dc.contributor.authorVan Den Bossche, Bruno
dc.contributor.authorDe Turck, Filip
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.authorOngenae, Femke
dc.contributor.imecauthorSteenwinckel, Bram
dc.contributor.imecauthorDe Paepe, Dieter
dc.contributor.imecauthorHautte, Sander Vanden
dc.contributor.imecauthorHeyvaert, Pieter
dc.contributor.imecauthorMoens, Pieter
dc.contributor.imecauthorDimou, Anastasia
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.imecauthorOngenae, Femke
dc.contributor.orcidimecDimou, Anastasia::0000-0003-2138-7972
dc.contributor.orcidimecDe Turck, Filip::0000-0003-4824-1199
dc.contributor.orcidimecSteenwinckel, Bram::0000-0002-3488-2334
dc.contributor.orcidimecHeyvaert, Pieter::0000-0002-1583-5719
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.contributor.orcidimecOngenae, Femke::0000-0003-2529-5477
dc.date.accessioned2022-03-02T08:46:40Z
dc.date.available2022-03-02T08:46:40Z
dc.date.issued2021
dc.identifier.doi10.1016/j.future.2020.10.015
dc.identifier.issn0167-739X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39203
dc.publisherELSEVIER
dc.source.beginpage30
dc.source.endpage48
dc.source.issuena
dc.source.journalFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
dc.source.numberofpages19
dc.source.volume116
dc.title

FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
1-s2.0-S0167739X20329927-main.pdf
Size:
2.27 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download
Publication available in collections:
Articles