Enhancing time series anomaly detection using discretization and word embeddings

dc.contributor.author	Pérez Capellán, Lucas
dc.contributor.author	Costa Cortéz, Nahuel Alejandro
dc.contributor.author	Sánchez Ramos, Luciano
dc.date.accessioned	2024-02-26T07:38:48Z
dc.date.available	2024-02-26T07:38:48Z
dc.date.issued	2023
dc.identifier.isbn	978-303142535-6
dc.identifier.issn	2367-3370
dc.identifier.uri	https://hdl.handle.net/10651/71606
dc.description	International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO (18th. 2023. Salamanca, Spain)
dc.format.extent	p. 269-278
dc.language.iso	eng
dc.relation.ispartof	18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023). Salamanca, Spain, September 5–7, 2023, Proceedings, Volume 2
dc.relation.ispartofseries	Lecture Notes in Networks and Systems; 750
dc.rights	© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172732914&doi=10.1007%2f978-3-031-42536-3_26&partnerID=40&md5=76c279f9213745ca14a651cab82da320
dc.title	Enhancing time series anomaly detection using discretization and word embeddings
dc.type	conference output
dc.identifier.doi	10.1007/978-3-031-42536-3_26
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-031-42536-3_26

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