Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Wellington Cabrera"'
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3fe5c4f83e52dc2f87e6dc9938f0e95
https://doi.org/10.1145/3511808.3557164
https://doi.org/10.1145/3511808.3557164
Autor:
Awny Al-Omari, Mahbub Hasan, Snigdha Prasad, Sanjay Nair, Mohammed Al-Kateb, Wellington Cabrera, Anantha Subramanian, Charles Zhang, Amit Kishore, Mohamed Y. Eltabakh
Publikováno v:
Proceedings of the VLDB Endowment. 14:2959-2971
Teradata Vantage is a platform for integrating a broad range of analytical functions and capabilities with the Teradata's SQL engine. One of the main challenges in optimizing the execution of these analytical functions is that many of them are not on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5123032728872b40050b8e3c7899ae0
https://doi.org/10.14778/3476311.3476375
https://doi.org/10.14778/3476311.3476375
Publikováno v:
Proceedings of the VLDB Endowment. 12:1854-1857
Machine learning has enabled many interesting applications and is extensively being used in big data systems. The popular approach - training machine learning models in frameworks like Tensorflow, Pytorch and Keras - requires movement of data from da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c941772c4f311b7c2a4ed5bda9e9e9e
https://doi.org/10.14778/3352063.3352083
https://doi.org/10.14778/3352063.3352083
Publikováno v:
Information Systems. 63:66-79
Analyzing graphs is a fundamental problem in big data analytics, for which DBMS technology does not seem competitive. On the other hand, SQL recursive queries are a fundamental mechanism to analyze graphs in a DBMS, whose processing and optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc1c47b8afb689d7491c62559930276b
https://doi.org/10.1016/j.is.2016.04.006
https://doi.org/10.1016/j.is.2016.04.006
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 28:1905-1918
Data summarization is an essential mechanism to accelerate analytic algorithms on large data sets. On the other hand, array DBMSs enable scalable computation with large matrices. With that motivation in mind, we propose a parallel array operator, bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c7d2fe721b604aa28aaae8a1ef94027
https://doi.org/10.1109/tkde.2016.2545664
https://doi.org/10.1109/tkde.2016.2545664
Publikováno v:
Machine Learning. 102:483-504
Variable selection in high dimensional data is a challenging problem due to the exponential number of variable combinations, and Markov Chain Monte Carlo (MCMC) methods represent the state of the art to solve it. With genomics data this problem becom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ac41acc5fb74b99954602af462e31bb
https://doi.org/10.1007/s10994-015-5534-8
https://doi.org/10.1007/s10994-015-5534-8
Publikováno v:
CCGrid
Most research has proposed scalable and parallel analytic algorithms that work outside a DBMS. On the other hand, R has become a very popular system to perform machine learning analysis, but it is limited by main memory and single-threaded processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c79dba036a231f06248fd8580105a04
https://doi.org/10.1109/ccgrid.2016.94
https://doi.org/10.1109/ccgrid.2016.94
Publikováno v:
SMARTCOMP
Urban areas host more than 50% of the world's populations, are responsible for 75% of energy consumption in the world, and they emit almost 80% of global carbon dioxide. There is an urgent need to develop "low carbon" cities that are smart and effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73e16470673ce2335fca553bf10f3e59
https://doi.org/10.1109/smartcomp.2016.7501718
https://doi.org/10.1109/smartcomp.2016.7501718
Publikováno v:
Data and Knowledge Engineering
Data and Knowledge Engineering, Elsevier, 2013, 89, pp.38-54. ⟨10.1016/j.datak.2013.11.002⟩
Data and Knowledge Engineering, 2013, 89, pp.38-54. ⟨10.1016/j.datak.2013.11.002⟩
Data and Knowledge Engineering, Elsevier, 2013, 89, pp.38-54. ⟨10.1016/j.datak.2013.11.002⟩
Data and Knowledge Engineering, 2013, 89, pp.38-54. ⟨10.1016/j.datak.2013.11.002⟩
Mis en ligne le 19/12/2013; International audience; In a data mining project developed on a relational database, a significant effort is required to build a data set for analysis. The main reason is that, in general, the database has a collection of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38072fb816be81636dd60f7d0a1cbaa8
https://hal.archives-ouvertes.fr/hal-00940778
https://hal.archives-ouvertes.fr/hal-00940778
Publikováno v:
DTMBIO
Variable selection is a fundamental problem in Bayesian statistics whose solution requires exploring a combinatorial search space. We study the solution of variable selection with a well-known MCMC method, which requires thousands of iterations. We p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a050fb441ae228f1ceb9a7cabde379be
https://doi.org/10.1145/2512089.2512094
https://doi.org/10.1145/2512089.2512094