Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Sameh Abdulah"'
Publikováno v:
ICT Express, Vol 8, Iss 2, Pp 276-282 (2022)
Most existing applications have a large number of evolving data streams. Clustering data streams is still a critical problem for these applications as the data are evolving and changes over time. Most existing algorithms are unsupervised learning in
Externí odkaz:
https://doaj.org/article/54f9db1ff18245ebafc8d0f70db32bc8
Publikováno v:
ICT Express. 8:276-282
Most existing applications have a large number of evolving data streams. Clustering data streams is still a critical problem for these applications as the data are evolving and changes over time. Most existing algorithms are unsupervised learning in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::386aa2c6945ff1a91b960200dbcb7f47
https://doi.org/10.1016/j.icte.2021.08.017
https://doi.org/10.1016/j.icte.2021.08.017
Autor:
David E. Keyes, Sameh Abdulah, George Bosilca, Ying Sun, Qinglei Cao, Marc G. Genton, Jack Dongarra, Hatem Ltaief, Yu Pei
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:964-976
Geostatistical modeling, one of the prime motivating applications for exascale computing, is a technique for predicting desired quantities from geographically distributed data, based on statistical models and optimization of parameters. Spatial data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4af939c9ce040680f97930bfdbf36620
https://doi.org/10.1109/tpds.2021.3084071
https://doi.org/10.1109/tpds.2021.3084071
Publikováno v:
Environmetrics. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78a29e4d43b7ad8dd3a1715da375a9dc
https://doi.org/10.1002/env.2791
https://doi.org/10.1002/env.2791
Autor:
Hatem Ltaief, Yuxi Hong, Adel Dabah, Rabab Alomairy, Sameh Abdulah, Chris Goreczny, Pawel Gepner, Matteo Ravasi, Damien Gratadour, David Keyes
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031320408
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a83349e6a06ea722b88ca1e3f29fa8d4
https://doi.org/10.1007/978-3-031-32041-5_7
https://doi.org/10.1007/978-3-031-32041-5_7
Data management applications are rapidly growing applications that require more attention, especially in the big data era. Thus, it is critical to support these applications with novel and efficient algorithms that satisfy higher performance. Array d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18e2e142536995a51d39128c41ed6b6d
https://doi.org/10.21203/rs.3.rs-2388124/v1
https://doi.org/10.21203/rs.3.rs-2388124/v1
Publikováno v:
Environmetrics. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47d4952950ed615a1cb50cad0829e0eb
https://doi.org/10.1002/env.2770
https://doi.org/10.1002/env.2770
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics. 26:580-595
As spatial datasets are becoming increasingly large and unwieldy, exact inference on spatial models becomes computationally prohibitive. Various approximation methods have been proposed to reduce the computational burden. Although comprehensive revie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59de42f349bd71a2c53b600ee78db441
https://doi.org/10.1007/s13253-021-00457-z
https://doi.org/10.1007/s13253-021-00457-z
Publikováno v:
Proceedings of the Platform for Advanced Scientific Computing Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b68f57f55e4eecba40a483e257f2b2b1
https://doi.org/10.1145/3539781.3539800
https://doi.org/10.1145/3539781.3539800
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef78c67433a03e42ee9aa1b738f92ba4
https://doi.org/10.1109/ipdps53621.2022.00044
https://doi.org/10.1109/ipdps53621.2022.00044