Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering

Original language	English
Supervisors	Jensen, Christian S., Principal supervisor Yang, Bin, Co-supervisor
Publication status	Published - 2021

Bibliographical note

Dissertation not published.

AUB Link

Search for the material in Aalborg University Library's search engine

Research output

Research output per year 2018 2018 2019 2019

• 3 Article in proceeding

Research output per year

Research output per year

• Outlier Detection for Time Series with Recurrent Autoencoder Ensembles

  Kieu, T., Yang, B., Guo, C. & Jensen, C. S., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). ijcai.org, p. 2725-2732 8 p.

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  Open Access

  • Recurrent 100%
  • Outlier Detection 100%
  • Autoencoder 100%
  • Recurrent Autoencoder 100%
  • Recurrent Neural Network 100%
  199 Citations (Scopus)

• Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories

  Kieu, T., Yang, B., Guo, C. & Jensen, C. S., 17 Oct 2018, Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery (ACM), p. 863-872 10 p.

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
  43 Citations (Scopus)

• Outlier Detection for Multidimensional Time Series using Deep Neural Networks

  Kieu, T., Yang, B. & Jensen, C. S., 13 Jul 2018, Proceedings of the 19th IEEE International Conference on Mobile Data Management, MDM 2018. IEEE (Institute of Electrical and Electronics Engineers), Vol. 2018-June. p. 125-134 10 p. (IEEE International Conference on Mobile Data Management (MDM)).

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • Outlier Detection 100%
  • Deep Neural Network 100%
  • Autoencoder 100%
  • Multidimensional Time Series 100%
  • Short Term Memory 100%
  168 Citations (Scopus)

Cite this

• APA
• Author
• BIBTEX
• Harvard
• Standard
• RIS
• Vancouver

Kieu, T. (2021). Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering.

Kieu, Tung. / Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering. 2021.

@misc{3089c043b83e441d97c7371e766018e2,

title = "Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering",

author = "Tung Kieu",

note = "Dissertation not published.",

year = "2021",

language = "English",

series = "Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet",

publisher = "Aalborg Universitetsforlag",

}

Kieu, T 2021, 'Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering'.

Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering. / Kieu, Tung.
2021.

Research output: PhD thesis

TY - GEN

T1 - Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering

AU - Kieu, Tung

N1 - Dissertation not published.

PY - 2021

Y1 - 2021

M3 - PhD thesis

T3 - Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet

ER -

Kieu T. Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering. 2021.