| Mining, indexing, and querying historical spatiotemporal data N Mamoulis, H Cao, G Kollios, M Hadjieleftheriou, Y Tao, DW Cheung Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 421 | 2004 |
| Mining frequent spatio-temporal sequential patterns H Cao, N Mamoulis, DW Cheung Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005 | 417 | 2005 |
| Characterizing and quantifying noise in PMU data M Brown, M Biswal, S Brahma, SJ Ranade, H Cao 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 249 | 2016 |
| Discovery of periodic patterns in spatiotemporal sequences H Cao, N Mamoulis, DW Cheung IEEE Transactions on Knowledge and Data Engineering 19 (4), 453-467, 2007 | 214 | 2007 |
| Real-time identification of dynamic events in power systems using PMU data, and potential applications—models, promises, and challenges S Brahma, R Kavasseri, H Cao, NR Chaudhuri, T Alexopoulos, Y Cui IEEE transactions on Power Delivery 32 (1), 294-301, 2016 | 165 | 2016 |
| Supervisory protection and automated event diagnosis using PMU data M Biswal, SM Brahma, H Cao IEEE Transactions on power delivery 31 (4), 1855-1863, 2016 | 141 | 2016 |
| Comprehensive clustering of disturbance events recorded by phasor measurement units OP Dahal, SM Brahma, H Cao IEEE Transactions on Power Delivery 29 (3), 1390-1397, 2013 | 102 | 2013 |
| Efficient compression of PMU data in WAMS PH Gadde, M Biswal, S Brahma, H Cao IEEE transactions on smart grid 7 (5), 2406-2413, 2016 | 92 | 2016 |
| Discovery of collocation episodes in spatiotemporal data H Cao, N Mamoulis, DW Cheung Sixth International Conference on Data Mining (ICDM'06), 823-827, 2006 | 79 | 2006 |
| Discovering partial periodic patterns in discrete data sequences H Cao, DW Cheung, N Mamoulis Pacific-Asia Conference on Knowledge Discovery and Data Mining, 653-658, 2004 | 58 | 2004 |
| Signal features for classification of power system disturbances using PMU data M Biswal, Y Hao, P Chen, S Brahma, H Cao, P De Leon 2016 Power Systems Computation Conference (PSCC), 1-7, 2016 | 52 | 2016 |
| Feedback-driven result ranking and query refinement for exploring semi-structured data collections H Cao, Y Qi, KS Candan, ML Sapino Proceedings of the 13th International Conference on Extending Database …, 2010 | 35 | 2010 |
| Beef production in the southwestern United States: strategies toward sustainability S Spiegal, AF Cibils, BT Bestelmeyer, JL Steiner, RE Estell, DW Archer, ... Frontiers in Sustainable Food Systems 4, 114, 2020 | 31 | 2020 |
| A new attention mechanism to classify multivariate time series Y Hao, H Cao Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 28 | 2020 |
| Evaluating performance of classifiers for supervisory protection using disturbance data from phasor measurement units OP Dahal, H Cao, S Brahma, R Kavasseri IEEE PES Innovative Smart Grid Technologies, Europe, 1-6, 2014 | 25 | 2014 |
| Evaluation of iceberg distance joins Y Shou, N Mamoulis, H Cao, D Papadias, DW Cheung International Symposium on Spatial and Temporal Databases, 270-288, 2003 | 23 | 2003 |
| Location dependent query in a mobile environment H Cao, S Wang, L Li Information Sciences 154 (1-2), 71-83, 2003 | 20 | 2003 |
| Forage and weather Influence day versus nighttime cow behavior and calf weaning weights on rangeland MN Sawalhah, AF Cibils, A Maladi, H Cao, DM Vanleeuwen, JL Holechek, ... Rangeland Ecology & Management 69 (2), 134-143, 2016 | 18 | 2016 |
| Efficient keyword search on graphs using mapreduce Y Hao, H Cao, Y Qi, C Hu, S Brahma, J Han 2015 IEEE International Conference on Big Data (Big Data), 2871-2873, 2015 | 18 | 2015 |
| System support for exploration and expert feedback in resolving conflicts during integration of metadata KS Candan, H Cao, Y Qi, ML Sapino The VLDB Journal—The International Journal on Very Large Data Bases 17 (6 …, 2008 | 18 | 2008 |
