Výsledky vyhledávání - "Oihana Coustie"

RFreeStem un raciniseur pour le malgache

Autor: Andonirina Andriamihasinoro, Josiane Mothe, Oihana Coustie, Olivier Teste

Publikováno v: Actes CORIA 2021
17ème conférence francophone en Recherche d’Information et Application (CORIA 2021)
17ème conférence francophone en Recherche d’Information et Application (CORIA 2021), Apr 2021, Grenoble, France. pp.1-10
HAL

Stemming is a step in text pre-processing that groups together words that are morphologically different but semantically similar, and which therefore, when used in a query in a search engine, should match similar or even identical documents. For many

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::27386c75355ceb52591308c062ad1b28
https://hal-univ-tlse2.archives-ouvertes.fr/hal-03360868

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RFreeStem : Une méthode de racinisation indépendante de la langue et sans règle

Autor: Josiane Mothe, Xavier Baril, Oihana Coustie, Olivier Teste

Publikováno v: Revue ouverte d’ingénierie des systèmes d’information
Revue ouverte d’ingénierie des systèmes d’information, ISTE, 2021, 2 (1), pp.1-29. ⟨10.21494/ISTE.OP.2021.0605⟩

International audience; With the large expansion of available textual data, text mining has become of special interest. Due to their unstructured nature, such data require important preprocessing steps. Among them, stemming algorithms conflate the va

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76e5b9ac42c604886de7f9ab974defde
https://doi.org/10.21494/iste.op.2021.0605

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METING: A Robust Log Parser Based on Frequent n-Gram Mining

Autor: Josiane Mothe, Xavier Baril, Olivier Teste, Oihana Coustie

Publikováno v: 2020 IEEE International Conference on Web Services (ICWS)
IEEE International Conference on Web Services (ICWS 2020)
IEEE International Conference on Web Services (ICWS 2020), Oct 2020, Beijing, China. pp.84-88, ⟨10.1109/ICWS49710.2020.00018⟩
ICWS

International audience; Execution logs are a pervasive resource to monitor modern information systems. Due to the lack of structure in raw log datasets, log parsing methods are used to automatically retrieve the structure of logs and gather logs of c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4de9da93c53cee96a00ff9dc0174c09e
https://hal.archives-ouvertes.fr/hal-03117077/document

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Application Performance Anomaly Detection with LSTM on Temporal Irregularities in Logs

Autor: Xavier Baril, Josiane Mothe, Oihana Coustie, Olivier Teste

Publikováno v: CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management
29th ACM International Conference on Information and Knowledge Management (CIKM 2020)
29th ACM International Conference on Information and Knowledge Management (CIKM 2020), ACM, Oct 2020, Virtual Event, Ireland. pp.1961-1964, ⟨10.1145/3340531.3412157⟩
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Oct 2020, Virtual Event Ireland, Ireland. pp.1961-1964, ⟨10.1145/3340531.3412157⟩
CIKM

International audience; Performance anomalies are a core problem in modern information systems, that affects the execution of the hosted applications. The detection of these anomalies often relies on the analysis of the application execution logs. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ceb29cf14d66c08e8d8612043d03c20
https://hal.archives-ouvertes.fr/hal-03121988

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