HATDC: A Holistic Approach for Time Series Data Repairing

Author:

Liu Xiaojie,Song Guangxuan,Wang Xiaoling

Publisher

Springer International Publishing

Reference23 articles.

1. Begum, N., Ulanova, L., Wang, J., Keogh, E.: Accelerating dynamic time warping clustering with a novel admissible pruning strategy. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 49–58. ACM (2015)

2. Box, G.E., Jenkins, G.M., Reinsel, G.C., Ljung, G.M.: Time Series Analysis: Forecasting and Control. Wiley, Hoboken (2015)

3. Brillinger, D.R.: Time Series: Data Analysis and Theory, vol. 36 (2001). https://doi.org/10.1016/0304-4149(79)90039-5

4. Springer Texts in Statistics;PJ Brockwell,2016

5. Chu, X., Ilyas, I.F., Papotti, P.: Holistic data cleaning: putting violations into context. In: 2013 IEEE 29th International Conference on Data Engineering (ICDE), pp. 458–469. IEEE (2013)

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1. TsRss: A Practical Stream data Cleaning Method based on Local Shape Feature;2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML);2022-03

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