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Sketch-Based Anomaly Detection in Streaming Graphs

dc.contributor.authorBhatia, Siddharth
dc.contributor.authorWadhwa, Mohit
dc.contributor.authorKawaguchi, Kenji
dc.contributor.authorShah, Neil
dc.contributor.authorYu, Philip
dc.contributor.authorHooi, Bryan
dc.date.accessioned2023-09-11T17:08:40Z
dc.date.available2023-09-11T17:08:40Z
dc.date.issued2023-08-06
dc.identifier.urihttps://hdl.handle.net/1721.1/152077
dc.publisherACM|Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Miningen_US
dc.relation.isversionofhttps://doi.org/10.1145/3580305.3599504en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleSketch-Based Anomaly Detection in Streaming Graphsen_US
dc.typeArticleen_US
dc.identifier.citationBhatia, Siddharth, Wadhwa, Mohit, Kawaguchi, Kenji, Shah, Neil, Yu, Philip et al. 2023. "Sketch-Based Anomaly Detection in Streaming Graphs."
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-09-01T07:46:42Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-09-01T07:46:42Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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