Multivariate time series dataset for space weather data analytics RA Angryk, PC Martens, B Aydin, D Kempton, SS Mahajan, S Basodi, ... Scientific data 7 (1), 227, 2020 | 71 | 2020 |
A large-scale solar image dataset with labeled event regions MA Schuh, RA Angryk, KG Pillai, JM Banda, PC Martens 2013 IEEE International Conference on Image Processing, 4349-4353, 2013 | 52 | 2013 |
Spatio-temporal co-occurrence pattern mining in data sets with evolving regions KG Pillai, RA Angryk, JM Banda, MA Schuh, T Wylie 2012 IEEE 12th international conference on data mining workshops, 805-812, 2012 | 45 | 2012 |
SPRINTS: A framework for solar‐driven event forecasting and research AJ Engell, DA Falconer, M Schuh, J Loomis, D Bissett Space Weather 15 (10), 1321-1346, 2017 | 31 | 2017 |
Graph-based ontology-guided data mining for D-matrix model maturation S Strasser, J Sheppard, M Schuh, R Angryk, C Izurieta 2011 Aerospace Conference, 1-12, 2011 | 23 | 2011 |
A comparative evaluation of automated solar filament detection MA Schuh, JM Banda, PN Bernasconi, RA Angryk, PCH Martens Solar Physics 289, 2503-2524, 2014 | 22 | 2014 |
Spatiotemporal co-occurrence rules K Ganesan Pillai, RA Angryk, JM Banda, T Wylie, MA Schuh New Trends in Databases and Information Systems: 17th East European …, 2014 | 18 | 2014 |
On visualization techniques for solar data mining MA Schuh, JM Banda, T Wylie, P McInerney, KG Pillai, RA Angryk Astronomy and computing 10, 32-42, 2015 | 16 | 2015 |
A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing MA Schuh, T Wylie, JM Banda, RA Angryk Big Data: 29th British National Conference on Databases, BNCOD 2013, Oxford …, 2013 | 16 | 2013 |
Spatiotemporal interpolation methods for solar event trajectories SF Boubrahimi, B Aydin, MA Schuh, D Kempton, RA Angryk, R Ma The Astrophysical Journal Supplement Series 236 (1), 23, 2018 | 14 | 2018 |
Massive labeled solar image data benchmarks for automated feature recognition MA Schuh, RA Angryk 2014 IEEE International Conference on Big Data (Big Data), 53-60, 2014 | 14 | 2014 |
When too similar is bad: A practical example of the solar dynamics observatory content-based image-retrieval system JM Banda, MA Schuh, T Wylie, P McInerney, RA Angryk New Trends in Databases and Information Systems: 17th East European …, 2014 | 14 | 2014 |
Mitigating the curse of dimensionality for exact knn retrieval MA Schuh, T Wylie, RA Angryk The Twenty-Seventh International Flairs Conference, 2014 | 13 | 2014 |
Big data new frontiers: Mining, search and management of massive repositories of solar image data and solar events JM Banda, MA Schuh, RA Angryk, KG Pillai, P McInerney New Trends in Databases and Information Systems: 17th East European …, 2014 | 12 | 2014 |
An IEEE standards-based visualization tool for knowledge discovery in maintenance event sequences M Schuh, J Sheppard, S Strasser, R Angryk, C Izurieta IEEE Aerospace and Electronic Systems Magazine 28 (7), 30-39, 2013 | 12 | 2013 |
Ontology-guided knowledge discovery of event sequences in maintenance data M Schuh, J Sheppard, S Strasser, R Angryk, C Izurieta 2011 IEEE AUTOTESTCON, 279-285, 2011 | 12 | 2011 |
Solar image parameter data from the sdo: Long-term curation and data mining MA Schuh, RA Angryk, PC Martens Astronomy and Computing 13, 86-98, 2015 | 11 | 2015 |
Pg-trajectory: A postgresql/postgis based data model for spatiotemporal trajectories A Kucuk, SM Hamdi, B Aydin, MA Schuh, RA Angryk 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud …, 2016 | 10 | 2016 |
A large-scale dataset of solar event reports from automated feature recognition modules MA Schuh, RA Angryk, PC Martens Journal of Space Weather and Space Climate 6, 2016 | 10 | 2016 |
Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing MA Schuh, T Wylie, RA Angryk Advances in Databases and Information Systems: 17th East European Conference …, 2013 | 10 | 2013 |