Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Çetintemel, Uğur"'
Autor:
Weir, Nathaniel, Crotty, Andrew, Galakatos, Alex, Ilkhechi, Amir, Ramaswamy, Shekar, Bhushan, Rohin, Cetintemel, Ugur, Utama, Prasetya, Geisler, Nadja, Hättasch, Benjamin, Eger, Steffen, Binnig, Carsten
This paper describes DBPal, a new system to translate natural language utterances into SQL statements using a neural machine translation model. While other recent approaches use neural machine translation to implement a Natural Language Interface to
Externí odkaz:
http://arxiv.org/abs/1909.06182
Autor:
Utama, Prasetya, Weir, Nathaniel, Basik, Fuat, Binnig, Carsten, Cetintemel, Ugur, Hättasch, Benjamin, Ilkhechi, Amir, Ramaswamy, Shekar, Usta, Arif
The ability to extract insights from new data sets is critical for decision making. Visual interactive tools play an important role in data exploration since they provide non-technical users with an effective way to visually compose queries and compr
Externí odkaz:
http://arxiv.org/abs/1804.00401
Autor:
Meng, Shujuan, Tran, Thi My Linh, Hu, Mingzhe, Wang, PanPan, Yi, Thomas, Zhong, Zhusi, Wang, Luoyun, Vogt, Braden, Jiao, Zhicheng, Barman, Arko, Cetintemel, Ugur, Chang, Ken, Nguyen, Dat-Thanh, Hui, Ferdinand K., Pan, Ian, Xiao, Bo, Yang, Li, Zhou, Hao, Bai, Harrison X.
Publikováno v:
In Journal of Stroke and Cerebrovascular Diseases November 2022 31(11)
Reusing intermediates in databases to speed-up analytical query processing has been studied in the past. Existing solutions typically require intermediate results of individual operators to be materialized into temporary tables to be considered for r
Externí odkaz:
http://arxiv.org/abs/1608.05678
Autor:
Meehan, John, Tatbul, Nesime, Zdonik, Stan, Aslantas, Cansu, Cetintemel, Ugur, Du, Jiang, Kraska, Tim, Madden, Samuel, Maier, David, Pavlo, Andrew, Stonebraker, Michael, Tufte, Kristin, Wang, Hao
Stream processing addresses the needs of real-time applications. Transaction processing addresses the coordination and safety of short atomic computations. Heretofore, these two modes of operation existed in separate, stove-piped systems. In this wor
Externí odkaz:
http://arxiv.org/abs/1503.01143
There is a fundamental discrepancy between the targeted and actual users of current analytics frameworks. Most systems are designed for the data and infrastructure of the Googles and Facebooks of the world---petabytes of data distributed across large
Externí odkaz:
http://arxiv.org/abs/1406.6667
We develop a novel method, based on the statistical concept of the Vapnik-Chervonenkis dimension, to evaluate the selectivity (output cardinality) of SQL queries - a crucial step in optimizing the execution of large scale database and data-mining ope
Externí odkaz:
http://arxiv.org/abs/1101.5805
Akademický článek
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Akademický článek
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Publikováno v:
In The Journal of Systems & Software 1999 45(1):31-43