Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hasanuzzaman Noor"'
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdce05304f4fc574f123fba892a751bf
https://doi.org/10.1109/bigdata55660.2022.10020383
https://doi.org/10.1109/bigdata55660.2022.10020383
Autor:
Hasanuzzaman Noor, Leonidas Fegaras
Publikováno v:
Proceedings of the VLDB Endowment. 13:1248-1260
Large volumes of data generated by scientific experiments and simulations come in the form of arrays, while programs that analyze these data are frequently expressed in terms of array operations in an imperative, loop-based language. But, as datasets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b8ff5c5980881e24847e868853a70b7
https://doi.org/10.14778/3389133.3389141
https://doi.org/10.14778/3389133.3389141
Autor:
Md Hasanuzzaman Noor, Leonidas Fegaras
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd04550ccc28f766d7bf8d66be1d594b
https://doi.org/10.1109/bigdata52589.2021.9671397
https://doi.org/10.1109/bigdata52589.2021.9671397
Autor:
Hasanuzzaman Noor, Leonidas Fegaras
Publikováno v:
IEEE BigData
Many programs written to analyze data are expressed in terms of array operations in an imperative programming language with loops. However, for data analysts who need to analyze vast volumes of data, large-scale data-intensive processing is becoming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12af217fa2de9b0eccf12f41be9c0214
https://doi.org/10.1109/bigdata50022.2020.9378136
https://doi.org/10.1109/bigdata50022.2020.9378136
Autor:
Leonidas Fegaras, Hasanuzzaman Noor
Publikováno v:
BigData Congress
Many emerging Big Data programming environments, such as Spark and Flink, provide powerful APIs that are inspired by functional programming. However, because of the complexity involved in developing and fine-tuning data analysis applications using th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b417395b0e311e1a16bf3c57becae8d3
https://doi.org/10.1109/bigdatacongress.2018.00008
https://doi.org/10.1109/bigdatacongress.2018.00008
Conference
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