UCR Suite

UCR Suite: Software that enables ultrafast subsequence search under both Dynamic Time Warping (DTW) and Euclidean Distance (ED). The work first appeared in a SIGKDD 2012 paper: Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q, Zakaria J, Keogh E (2012) Searching and mining trillions of time series subsequences under dynamic time warping. Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 262--270

References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
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  1. Landaluce-Calvo, M. Isabel; Modroño-Herrán, Juan I.: Classification for time series data. An unsupervised approach based on reduction of dimensionality (2020)
  2. Mathew Schwartz; Todd C. Pataky; Cyril J. Donnelly: seg1d: A Python package for Automated segmentation of one-dimensional (1D) data (2020) not zbMATH
  3. Shifaz, Ahmed; Pelletier, Charlotte; Petitjean, François; Webb, Geoffrey I.: TS-CHIEF: a scalable and accurate forest algorithm for time series classification (2020)
  4. Wan, Yuqing; Lau, Raymond Yiu Keung; Si, Yain-Whar: Mining subsequent trend patterns from financial time series (2020)
  5. Stübinger, Johannes: Statistical arbitrage with optimal causal paths on high-frequency data of the S&P 500 (2019)
  6. Silva, Diego F.; Giusti, Rafael; Keogh, Eamonn; Batista, Gustavo E. A. P. A.: Speeding up similarity search under dynamic time warping by pruning unpromising alignments (2018)
  7. Kostakis, Orestis; Papapetrou, Panagotis: On searching and indexing sequences of temporal intervals (2017)
  8. Baydogan, Mustafa Gokce; Runger, George: Time series representation and similarity based on local autopatterns (2016)
  9. Huang, Xiaohui; Ye, Yunming; Xiong, Liyan; Lau, Raymond Y. K.; Jiang, Nan; Wang, Shaokai: Time series (k)-means: a new (k)-means type smooth subspace clustering for time series data (2016)
  10. Philipp Boersch-Supan: rucrdtw: Fast time series subsequence search in R (2016) not zbMATH
  11. Schäfer, Patrick: Scalable time series classification (2016)
  12. Chen, Yanping; Hao, Yuan; Rakthanmanon, Thanawin; Zakaria, Jesin; Hu, Bing; Keogh, Eamonn: A general framework for never-ending learning from time series streams (2015)
  13. Schäfer, Patrick: The BOSS is concerned with time series classification in the presence of noise (2015)
  14. Batista, Gustavo E. A. P. A.; Keogh, Eamonn J.; Tataw, Oben Moses; de Souza, Vinícius M. A.: CID: an efficient complexity-invariant distance for time series (2014)
  15. Faghmous, James H.; Kumar, Vipin: Spatio-temporal data mining for climate data: advances, challenges, and opportunities (2014)
  16. Grabocka, Josif; Schmidt-Thieme, Lars: Invariant time-series factorization (2014) ioport
  17. Hills, Jon; Lines, Jason; Baranauskas, Edgaras; Mapp, James; Bagnall, Anthony: Classification of time series by shapelet transformation (2014)