DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams (English)
- New search for: Lu, Yue
- Further information on Lu, Yue:
- https://orcid.org/http://orcid.org/0000-0003-4812-9658
- New search for: Wu, Renjie
- New search for: Mueen, Abdullah
- New search for: Zuluaga, Maria A.
- New search for: Keogh, Eamonn
- New search for: Lu, Yue
- Further information on Lu, Yue:
- https://orcid.org/http://orcid.org/0000-0003-4812-9658
- New search for: Wu, Renjie
- New search for: Mueen, Abdullah
- New search for: Zuluaga, Maria A.
- New search for: Keogh, Eamonn
In:
Data Mining and Knowledge Discovery
;
37
, 2
;
627-669
;
2023
- Article (Journal) / Electronic Resource
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Title:DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams
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Additional title:Data Min Knowl Disc
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Contributors:Lu, Yue ( author ) / Wu, Renjie ( author ) / Mueen, Abdullah ( author ) / Zuluaga, Maria A. ( author ) / Keogh, Eamonn ( author )
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Published in:Data Mining and Knowledge Discovery ; 37, 2 ; 627-669
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Publisher:
- New search for: Springer US
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Place of publication:New York
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Publication date:2023-03-01
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Size:43 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 37, Issue 2
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 521
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HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learningZhang, Naixin / Wang, Jinmeng / He, Jieyue et al. | 2022
- 552
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Functional classwise principal component analysis: a classification framework for functional data analysisChatterjee, Avishek / Mazumder, Satyaki / Das, Koel et al. | 2022
- 595
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On computing exact means of time series using the move-split-merge metricHolznigenkemper, Jana / Komusiewicz, Christian / Seeger, Bernhard et al. | 2023
- 627
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DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streamsLu, Yue / Wu, Renjie / Mueen, Abdullah / Zuluaga, Maria A. / Keogh, Eamonn et al. | 2023
- 670
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MERLIN++: parameter-free discovery of time series anomaliesNakamura, Takaaki / Mercer, Ryan / Imamura, Makoto / Keogh, Eamonn et al. | 2023
- 710
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Residual projection for quantile regression in vertically partitioned big dataFan, Ye / Li, Jr-Shin / Lin, Nan et al. | 2023
- 736
-
Exploring uplift modeling with high class imbalanceNyberg, Otto / Klami, Arto et al. | 2023
- 767
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BDRI: block decomposition based on relational interaction for knowledge graph completionYu, Mei / Guo, Jiujiang / Yu, Jian / Xu, Tianyi / Zhao, Mankun / Liu, Hongwei / Li, Xuewei / Yu, Ruiguo et al. | 2023
- 788
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Forecast evaluation for data scientists: common pitfalls and best practicesHewamalage, Hansika / Ackermann, Klaus / Bergmeir, Christoph et al. | 2022
- 833
-
Methods for explaining Top-N recommendations through subgroup discoveryIferroudjene, Mouloud / Lonjarret, Corentin / Robardet, Céline / Plantevit, Marc / Atzmueller, Martin et al. | 2022
- 873
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Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiersSingh, Ashish / Bevilacqua, Antonio / Nguyen, Thach Le / Hu, Feiyan / McGuinness, Kevin / O’Reilly, Martin / Whelan, Darragh / Caulfield, Brian / Ifrim, Georgiana et al. | 2022
- 913
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Graph convolutional networks for traffic forecasting with missing valuesZuo, Jingwei / Zeitouni, Karine / Taher, Yehia / Garcia-Rodriguez, Sandra et al. | 2022
- 948
-
Difference embedding for recommender systemsYi, Peng / Cai, Xiongcai / Li, Ziteng et al. | 2022
- 970
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Generalized density attractor clustering for incomplete dataLeibrandt, Richard / Günnemann, Stephan et al. | 2023
- 1010
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Scalable classifier-agnostic channel selection for multivariate time series classificationDhariyal, Bhaskar / Le Nguyen, Thach / Ifrim, Georgiana et al. | 2023