| 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 | 1205 | 2012 |
| 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 | 292 | 2013 |
| Clustering time series using unsupervised-shapelets J Zakaria, A Mueen, E Keogh 2012 IEEE 12th International Conference on Data Mining, 785-794, 2012 | 272 | 2012 |
| Discovery of meaningful rules in time series M Shokoohi-Yekta, Y Chen, B Campana, B Hu, J Zakaria, E Keogh Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 111 | 2015 |
| Classification of multi-dimensional streaming time series by weighting each classifier's track record B Hu, Y Chen, J Zakaria, L Ulanova, E Keogh 2013 IEEE 13th international conference on data mining, 281-290, 2013 | 50 | 2013 |
| Towards never-ending learning from time series streams Y Hao, Y Chen, J Zakaria, B Hu, T Rakthanmanon, E Keogh Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 42 | 2013 |
| Accelerating the discovery of unsupervised-shapelets J Zakaria, A Mueen, E Keogh, N Young Data mining and knowledge discovery 30, 243-281, 2016 | 37 | 2016 |
| A general framework for never-ending learning from time series streams Y Chen, Y Hao, T Rakthanmanon, J Zakaria, B Hu, E Keogh Data mining and knowledge discovery 29, 1622-1664, 2015 | 35 | 2015 |
| Mining massive archives of mice sounds with symbolized representations J Zakaria, S Rotschafer, A Mueen, K Razak, E Keogh Proceedings of the 2012 SIAM International Conference on Data Mining, 588-599, 2012 | 26 | 2012 |
| Data Mining a Trillion Time Series Subsequences Under Dynamic Time Warping. T Rakthanmanon, EJ Keogh IJCAI, 3047-3051, 2013 | 18 | 2013 |
| Developing efficient algorithms for data mining large scale high dimensional data J Zakaria University of California, Riverside, 2013 | 1 | 2013 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
