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pro vyhledávání: '"Abello, Alberto"'
Autor:
Abello, Alberto, Cheney, James
Data integration is a classical problem in databases, typically decomposed into schema matching, entity matching and data fusion. To solve the latter, it is mostly assumed that ground truth can be determined. However, in general, the data gathering p
Externí odkaz:
http://arxiv.org/abs/2201.13302
A Web API (WAPI) is a type of API whose interaction with its consumers is done through the Internet. While being accessed through the Internet can be challenging, mostly when WAPIs evolve, it gives providers the possibility to monitor their usage, an
Externí odkaz:
http://arxiv.org/abs/2103.10811
Autor:
Theodorou, Vasileios, Gerostathopoulos, Ilias, Alshabani, Iyad, Abello, Alberto, Breitgand, David
Current Cloud solutions for Edge Computing are inefficient for data-centric applications, as they focus on the IaaS/PaaS level and they miss the data modeling and operations perspective. Consequently, Edge Computing opportunities are lost due to cumb
Externí odkaz:
http://arxiv.org/abs/2102.13125
Autor:
Giovanelli, Joseph, Bilalli, Besim, Abelló, Alberto, Silva-Coira, Fernando, de Bernardo, Guillermo
Publikováno v:
In Information Systems February 2024 120
Publikováno v:
In The Journal of Systems & Software April 2023 198
Akademický článek
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Modern big data frameworks (such as Hadoop and Spark) allow multiple users to do large-scale analysis simultaneously. Typically, users deploy Data-Intensive Workflows (DIWs) for their analytical tasks. These DIWs of different users share many common
Externí odkaz:
http://arxiv.org/abs/1806.03901
Flexibility of small loads, in particular from Electric Vehicles (EVs), has recently attracted a lot of interest due to their possibility of participating in the energy market and the new commercial potentials. Different from existing work, the aggre
Externí odkaz:
http://arxiv.org/abs/1805.02301
Data pre-processing is one of the most time consuming and relevant steps in a data analysis process (e.g., classification task). A given data pre-processing operator (e.g., transformation) can have positive, negative or zero impact on the final resul
Externí odkaz:
http://arxiv.org/abs/1803.01024
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources, in their original format. The structure of those data, commonly supplied by means of REST APIs, is continuously evolving. Thus data analysts need to
Externí odkaz:
http://arxiv.org/abs/1801.05161