Huiping Cao
Huiping Cao
Professor of Computer Science, New mexico State University
Overená e-mailová adresa na: - Domovská stránka
Citované v
Citované v
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
Mining frequent spatio-temporal sequential patterns
H Cao, N Mamoulis, DW Cheung
Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 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
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
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
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
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
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
Discovery of collocation episodes in spatiotemporal data
H Cao, N Mamoulis, DW Cheung
Sixth International Conference on Data Mining (ICDM'06), 823-827, 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
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
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
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
A new attention mechanism to classify multivariate time series
Y Hao, H Cao
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 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
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
Location dependent query in a mobile environment
H Cao, S Wang, L Li
Information Sciences 154 (1-2), 71-83, 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
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
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
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20