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Mathematical Problems in Engineering
Volume 2014, Article ID 879736, 14 pages
http://dx.doi.org/10.1155/2014/879736
Research Article

Time Series Outlier Detection Based on Sliding Window Prediction

College of Computer & Information, Hohai University, Nanjing 210098, China

Received 18 July 2014; Accepted 15 September 2014; Published 30 October 2014

Academic Editor: Jun Jiang

Copyright © 2014 Yufeng Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Christian Sand, Kim Bogus, Sabrina Kunz, and Jorg Franke, “Holistic production analysis for actuator manufacturing using data mining,” 2016 6th International Electric Drives Production Conference (EDPC), pp. 301–305, . View at Publisher · View at Google Scholar
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  • Leonardo Aguayo, and Guilherme A. Barreto, “Novelty Detection in Time Series Using Self-Organizing Neural Networks: A Comprehensive Evaluation,” Neural Processing Letters, 2017. View at Publisher · View at Google Scholar
  • Molin Sun, and Zhongyi Zheng, “Vessel Traffic Risk Assessment Based on Uncertainty Analysis in the Risk Matrix,” Algorithms, vol. 11, no. 5, pp. 60, 2018. View at Publisher · View at Google Scholar