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Your search keyword '"FREIRE, JULIANA"' showing total 28 results
Start Over Author "FREIRE, JULIANA" Publisher association for computing machinery
28 results on '"FREIRE, JULIANA"'

1. The Seattle Report on Database Research.

Author

ABADI, DANIEL, AILAMAKI, ANASTASIA, ANDERSEN, DAVID, BAILIS, PETER, BALAZINSKA, MAGDALENA, BERNSTEIN, PHILIP A., BONCZ, PETER, CHAUDHURI, SURAJIT, CHEUNG, ALVIN, DOAN, ANHAI, DONG, LUNA, FRANKLIN, MICHAEL J., FREIRE, JULIANA, HALEVY, ALON, HELLERSTEIN, JOSEPH M., IDREOS, STRATOS, KOSSMANN, DONALD, KRASKA, TIM, KRISHNAMURTHY, SAILESH, and MARKL, VOLKER

Subjects
DATABASE research, INFORMATION resource research, MACHINE learning, ARTIFICIAL intelligence, DATA management
Abstract

The article describes promising research directions in the database community, reporting on current themes and challenges. Particular focus is given to what has changed in the field since 2017, like technological breakthroughs in machine learning and artificial intelligence. Other topics discussed include data science, which is defined as the processes and systems that enable the extraction of knowledge or insights from data in various forms, dealing with the increasingly important social challenge of data governance, and the need to rethink architecture for cloud data services.

Published
2022
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2. A Survey on Collecting, Managing, and Analyzing Provenance from Scripts.

Author

PIMENTEL, JOÃO FELIPE, FREIRE, JULIANA, MURTA, LEONARDO, and BRAGANHOLO, VANESSA

Subjects
*PROVENANCE of art, *SCRIPTS, *PROGRAMMING languages, *COLLECTORS & collecting
Abstract

Scripts are widely used to design and run scientific experiments. Scripting languages are easy to learn and use, and they allow complex tasks to be specified and executed in fewer steps than with traditional programming languages. However, they also have important limitations for reproducibility and data management. As experiments are iteratively refined, it is challenging to reason about each experiment run (or trial), to keep track of the association between trials and experiment instances as well as the differences across trials, and to connect results to specific input data and parameters. Approaches have been proposed that address these limitations by collecting, managing, and analyzing the provenance of scripts. In this article, we survey the state of the art in provenance for scripts. We have identified the approaches by following an exhaustive protocol of forward and backward literature snowballing. Based on a detailed study, we propose a taxonomy and classify the approaches using this taxonomy. [ABSTRACT FROM AUTHOR]

Published
2020
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6. PruSM.

Author

Nguyen, Thanh Hoang, Nguyen, Hoa, and Freire, Juliana

Published
2010
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21. StatiX.

Author

Freire, Juliana, Haritsa, Jayant R., Ramanath, Maya, Roy, Prasan, and Siméon, Jérôme

Published
2002
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24. VisTrails.

Author

Callahan, Steven P., Freire, Juliana, Santos, Emanuele, Scheidegger, Carlos E., Silva, Cláudio T., and Vo, Huy T.

Published
2006
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27. Siphon++.

Author

Vieira, Karane, Barbosa, Luciano, Freire, Juliana, and Silva, Altigran

Published
2008
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