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Segmentation-Based Methods for Top-k Discords Detection in Static and Streaming Time Series Under Euclidean Distance.

, , and . ICCASA, volume 409 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 147-163. Springer, (2021)

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Instance reduction for time series classification using MDL principle., and . Intell. Data Anal., 21 (3): 491-514 (2017)A hybrid method for forecasting trend and seasonal time series., , and . RIVF, page 203-208. IEEE, (2013)Using motif information to improve anytime time series classification., and . SoCPaR, page 1-6. IEEE, (2013)Extracting rules from neural networks for time series prediction., and . SoICT, page 218-225. ACM, (2014)A Fast Method for Motif Discovery in Large Time Series Database under Dynamic Time Warping., and . KSE, volume 326 of Advances in Intelligent Systems and Computing, page 155-167. Springer, (2014)An efficient implementation of anytime k-medoids clustering for time series under dynamic time warping., and . SoICT, page 22-29. ACM, (2016)An Improvement of PAA for Dimensionality Reduction in Large Time Series Databases., and . PRICAI, volume 5351 of Lecture Notes in Computer Science, page 698-707. Springer, (2008)An Efficient Method for Discovering Motifs in Streaming Time Series Data., and . KSE (1), volume 244 of Advances in Intelligent Systems and Computing, page 225-236. Springer, (2013)An efficient method for motif and anomaly detection in time series based on clustering., and . Int. J. Bus. Intell. Data Min., 10 (4): 356-377 (2015)Foreign Exchange Rate Forecasting using Autoencoder and LSTM Networks., , and . ICIIT, page 22-28. ACM, (2021)