| The UCR time series archive HA Dau, A Bagnall, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... IEEE/CAA Journal of Automatica Sinica 6 (6), 1293-1305, 2019 | 813 | 2019 |
| Matrix profile I: all pairs similarity joins for time series: a unifying view that includes motifs, discords and shapelets CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, DF Silva, ... 2016 IEEE 16th international conference on data mining (ICDM), 1317-1322, 2016 | 751 | 2016 |
| Matrix profile II: Exploiting a novel algorithm and gpus to break the one hundred million barrier for time series motifs and joins Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ... Data Mining (ICDM), 2016 IEEE 16th International Conference on, 739-748, 2016 | 274 | 2016 |
| The UCR time series classification archive HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... URL https://www. cs. ucr. edu/~ eamonn/time_series_data_2018, 2018 | 262 | 2018 |
| Yanping, Bing Hu, Nurjahan Begum, Anthony Bagnall, Abdullah Mueen, Gustavo Batista, and Hexagon-ML. The ucr time series classification archive, October 2018 HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... | 181* | 2018 |
| Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, Z Zimmerman, ... Data Mining and Knowledge Discovery 32, 83-123, 2018 | 152 | 2018 |
| Matrix profile XI: SCRIMP++: time series motif discovery at interactive speeds Y Zhu, CCM Yeh, Z Zimmerman, K Kamgar, E Keogh 2018 IEEE international conference on data mining (ICDM), 837-846, 2018 | 136 | 2018 |
| The Fastest Similarity Search Algorithm for Time Series Subsequences under Euclidean Distance A Mueen, Y Zhu, CCM Yeh, K Kamgar, K Viswanathan, C Gupta, E Keogh url: http://www.cs.unm.edu/~mueen/FastestSimilaritySearch.html, 2017 | 128 | 2017 |
| Matrix profile X: VALMOD-scalable discovery of variable-length motifs in data series M Linardi, Y Zhu, T Palpanas, E Keogh Proceedings of the 2018 International Conference on Management of Data, 1053 …, 2018 | 101 | 2018 |
| Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining Y Zhu, M Imamura, D Nikovski, E Keogh IEEE International Conference on Data Mining, 2017 | 72* | 2017 |
| Matrix profile goes MAD: variable-length motif and discord discovery in data series M Linardi, Y Zhu, T Palpanas, E Keogh Data Mining and Knowledge Discovery 34, 1022-1071, 2020 | 63 | 2020 |
| An lof-based adaptive anomaly detection scheme for cloud computing T Huang, Y Zhu, Q Zhang, Y Zhu, D Wang, M Qiu, L Liu 2013 IEEE 37th Annual computer software and applications conference …, 2013 | 53 | 2013 |
| Super‐efficient cross‐correlation (SEC‐C): A fast matched filtering code suitable for desktop computers NS Senobari, GJ Funning, E Keogh, Y Zhu, CCM Yeh, Z Zimmerman, ... Seismological Research Letters 90 (1), 322-334, 2019 | 46 | 2019 |
| Introducing time series chains: a new primitive for time series data mining Y Zhu, M Imamura, D Nikovski, E Keogh Knowledge and Information Systems 60, 1135-1161, 2019 | 42 | 2019 |
| Hexagon-ML (2018) The UCR time series classification archive HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... URL https://www. cs. ucr. edu/~ eamonn/time_series_data_2018, 2018 | 42 | 2018 |
| Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins Y Zhu, Z Zimmerman, N Shakibay Senobari, CCM Yeh, G Funning, ... Knowledge and Information Systems 54, 203-236, 2018 | 41 | 2018 |
| Fast similarity matrix profile for music analysis and exploration DF Silva, CCM Yeh, Y Zhu, GE Batista, E Keogh IEEE Transactions on Multimedia 21 (1), 29-38, 2018 | 39 | 2018 |
| The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code Y Zhu, S Gharghabi, DF Silva, HA Dau, CCM Yeh, N Shakibay Senobari, ... Data Mining and Knowledge Discovery 34, 949-979, 2020 | 33 | 2020 |
| VALMOD: A suite for easy and exact detection of variable length motifs in data series M Linardi, Y Zhu, T Palpanas, E Keogh Proceedings of the 2018 International Conference on Management of Data, 1757 …, 2018 | 28 | 2018 |
| Online amnestic dtw to allow real-time golden batch monitoring CCM Yeh, Y Zhu, HA Dau, A Darvishzadeh, M Noskov, E Keogh Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 19 | 2019 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideDirección de correo verificada de cs.ucr.edu
