Outlier detection for multidimensional time series using deep neural networks

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

8 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018
Number of pages10
Volume2018-June
PublisherIEEE
Publication date13 Jul 2018
Pages125-134
ISBN (Electronic)9781538641330
DOIs
Publication statusPublished - 13 Jul 2018
Event19th IEEE International Conference on Mobile Data Management, MDM 2018 - Aalborg, Denmark
Duration: 25 Jun 201828 Jun 2018

Conference

Conference19th IEEE International Conference on Mobile Data Management, MDM 2018
CountryDenmark
CityAalborg
Period25/06/201828/06/2018
SponsorAalborg University, Center for Data-Intensive Systems (DAISY), Aalborg University, IEEE, IEEE Technical Committee on Data Engineering (TCDE), Otto Monsted Foundation
SeriesIEEE International Conference on Mobile Data Management (MDM)
ISSN2375-0324

Fingerprint

Time series
Deep neural networks
Neural networks
Analog to digital conversion
Accelerometers
Global positioning system
Sensors

Keywords

  • Deep Neural Networks
  • Outlier Detection
  • Time Series

Cite this

Kieu, T., Yang, B., & Jensen, C. S. (2018). Outlier detection for multidimensional time series using deep neural networks. In Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018 (Vol. 2018-June, pp. 125-134). IEEE. IEEE International Conference on Mobile Data Management (MDM) https://doi.org/10.1109/MDM.2018.00029
Kieu, Tung ; Yang, Bin ; Jensen, Christian Søndergaard. / Outlier detection for multidimensional time series using deep neural networks. Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. Vol. 2018-June IEEE, 2018. pp. 125-134 (IEEE International Conference on Mobile Data Management (MDM)).
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Kieu, T, Yang, B & Jensen, CS 2018, Outlier detection for multidimensional time series using deep neural networks. in Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. vol. 2018-June, IEEE, IEEE International Conference on Mobile Data Management (MDM), pp. 125-134, 19th IEEE International Conference on Mobile Data Management, MDM 2018, Aalborg, Denmark, 25/06/2018. https://doi.org/10.1109/MDM.2018.00029

Outlier detection for multidimensional time series using deep neural networks. / Kieu, Tung; Yang, Bin; Jensen, Christian Søndergaard.

Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. Vol. 2018-June IEEE, 2018. p. 125-134 (IEEE International Conference on Mobile Data Management (MDM)).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Yang, Bin

AU - Jensen, Christian Søndergaard

PY - 2018/7/13

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Kieu T, Yang B, Jensen CS. Outlier detection for multidimensional time series using deep neural networks. In Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. Vol. 2018-June. IEEE. 2018. p. 125-134. (IEEE International Conference on Mobile Data Management (MDM)). https://doi.org/10.1109/MDM.2018.00029