Generic and Scalable Framework for Automated Time-series Anomaly Detection | Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
%0 Conference Paper
%1 Laptev_2015
%A Laptev, Nikolay
%A Amizadeh, Saeed
%A Flint, Ian
%B Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
%D 2015
%I ACM
%K
%R 10.1145/2783258.2788611
%T Generic and Scalable Framework for Automated Time-series Anomaly Detection
%U https://doi.org/10.1145%2F2783258.2788611
@inproceedings{Laptev_2015,
added-at = {2022-07-11T20:03:34.000+0200},
author = {Laptev, Nikolay and Amizadeh, Saeed and Flint, Ian},
biburl = {https://www.bibsonomy.org/bibtex/280a366f627047e8ce9f317f070822fc9/simonh},
booktitle = {Proceedings of the 21th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining},
description = {Generic and Scalable Framework for Automated Time-series Anomaly Detection | Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
doi = {10.1145/2783258.2788611},
interhash = {172f44569da87248dce1a1a50e02967c},
intrahash = {80a366f627047e8ce9f317f070822fc9},
keywords = {},
month = aug,
publisher = {{ACM}},
timestamp = {2022-07-12T10:08:44.000+0200},
title = {Generic and Scalable Framework for Automated Time-series Anomaly Detection},
url = {https://doi.org/10.1145%2F2783258.2788611},
year = 2015
}