| Searching and mining trillions of time series subsequences under dynamic time warping T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 1471 | 2012 |
| Experimental comparison of representation methods and distance measures for time series data X Wang, A Mueen, H Ding, G Trajcevski, P Scheuermann, E Keogh Data Mining and Knowledge Discovery 26 (2), 275-309, 2013 | 1218 | 2013 |
| The UCR time series classification archive Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista July, 2015 | 1123 | 2015 |
| 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 | 1052 | 2016 |
| Curse of dimensionality E Keogh, A Mueen Encyclopedia of machine learning, 257-258, 2011 | 661 | 2011 |
| Exact discovery of time series motifs A Mueen, E Keogh, Q Zhu, S Cash, B Westover Proceedings of the 2009 SIAM international conference on data mining, 473-484, 2009 | 597 | 2009 |
| Logical-shapelets: an expressive primitive for time series classification A Mueen, E Keogh, N Young Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 465 | 2011 |
| Debot: Twitter bot detection via warped correlation. N Chavoshi, H Hamooni, A Mueen Icdm 18, 28-65, 2016 | 388 | 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 | 375 | 2018 |
| 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, ... 2016 IEEE 16th international conference on data mining (ICDM), 739-748, 2016 | 370 | 2016 |
| Addressing big data time series: Mining trillions of time series subsequences under dynamic time warping T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ... ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (3), 1-31, 2013 | 359 | 2013 |
| Clustering time series using unsupervised-shapelets J Zakaria, A Mueen, E Keogh 2012 IEEE 12th international conference on data mining, 785-794, 2012 | 350 | 2012 |
| Logmine: Fast pattern recognition for log analytics H Hamooni, B Debnath, J Xu, H Zhang, G Jiang, A Mueen Proceedings of the 25th ACM international on conference on information and …, 2016 | 322 | 2016 |
| Extracting optimal performance from dynamic time warping A Mueen, E Keogh Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 252 | 2016 |
| Online discovery and maintenance of time series motifs A Mueen, E Keogh Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 215 | 2010 |
| Analyzing the Great Firewall of China over space and time R Ensafi, P Winter, A Mueen, JR Crandall Proceedings on privacy enhancing technologies, 2015 | 203 | 2015 |
| Fast approximate correlation for massive time-series data A Mueen, S Nath, J Liu Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 200 | 2010 |
| Accelerating dynamic time warping subsequence search with GPUs and FPGAs D Sart, A Mueen, W Najjar, E Keogh, V Niennattrakul 2010 IEEE International Conference on Data Mining, 1001-1006, 2010 | 199 | 2010 |
| 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 (1), 83-123, 2018 | 195 | 2018 |
| Enumeration of time series motifs of all lengths A Mueen, N Chavoshi Knowledge and Information Systems 45 (1), 105-132, 2015 | 166 | 2015 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
