Language Models for Novelty Detection in Kernel Traces Article Swipe
Quentin Fournier
,
Daniel Aloise
,
Leandro R. Costa
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7378420
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7378420
This new open-source dataset of kernel traces comprises over 2 million web requests with seven distinct behaviors collected with LTTng on an Apache Web Server. For detailed information about the data, please go to the following GitHub repository: https://github.com/qfournier/syscall_novelty_detection.
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Metadata
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4310432441Canonical identifier for this work in OpenAlex
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https://doi.org/10.5281/zenodo.7378420Digital Object Identifier
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Language Models for Novelty Detection in Kernel TracesWork title
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articleOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-01-01Full publication date if available
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Quentin Fournier, Daniel Aloise, Leandro R. CostaList of authors in order
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https://zenodo.org/record/7378420Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://zenodo.org/record/7378420Direct OA link when available
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Novelty, Novelty detection, Computer science, Kernel (algebra), Artificial intelligence, Natural language processing, Mathematics, Psychology, Combinatorics, Social psychologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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