Author:
Wang Shaopeng,Yuan Ye,Li Hua
Publisher
Springer International Publishing
Reference16 articles.
1. Begum, N., Keogh, E.: Rare time series motif discovery from unbounded streams. In: VLDB 2015, pp. 149–160. Association for Computing Machinery, USA (2015)
2. Patel, P., Keogh, E., Lin, J., Lonardi, S.: Mining motifs in massive time series databases. In: ICDM 2002, pp. 370–377. IEEE Computer Society, Piscataway (2002)
3. Zhu, Y., Zimmerman, Z., Senobari, N.S., et al.: Matrix profile II: exploiting a novel algorithm and GPUs to break the one hundred million barrier for time series motifs and joins. In: ICDM 2016, pp. 739–748. IEEE Computer Society, Piscataway (2016)
4. Yeh, C.C.M., Zhu, Y., Ulanova, L., et al.: Matrix profile I: all pairs similarity joins for time series: a unifying view that includes motifs, discords and shapelets. In: ICDM 2016, pp. 1317–1322, IEEE Computer Society, Piscataway (2016)
5. Hao, M.C., Marwah, M., Janetzko, H., et al.: Visualexploration of frequent patterns in multivariate time series. Inf. Vis. 11(1), 71–83 (2012)
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