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Mostrando ítems 31-40 de 57
Artículo
LEAPME: learning-based property matching with embeddings
(Elsevier, 2022)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities from many sources. Matching and fusion of such entities require to also match and combine their ...
Artículo
Modeling Variability in the Performance Perspective of Business Processes
(IEEE Computer Society, 2021)
The modeling and management of business processes often leads to the definition of several variants of the same process. This variability can be reflected in different process perspectives such as control-flow, data, ...
Artículo
Metamorphic Testing: Testing the Untestable
(IEEE Computer Society, 2020)
Artículo
A domain-specific language for the specification of UCON policies
(Elsevier, 2022)
Security policies constrain the behavior of all users of an information system. In any non-trivial system, these security policies go beyond simple access control rules and must cover more complex and dynamic scenarios while ...
Artículo
On validating web information extraction proposals
(Elsevier, 2022)
Many people who have to make informed decisions in today’s always-on culture use information extractors to feed their systems with information that comes from human-friendly documents. Unfortunately, many proposals that ...
Artículo
PHILNet: A novel efficient approach for time series forecasting using deep learning
(ScienceDirect, 2023)
Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior can be useful in planning ahead, saving time, resources, and helping avoid undesired scenarios. ...
Artículo
On exploring data lakes by finding compact, isolated clusters
(Elsevier, 2022)
Data engineers are very interested in data lake technologies due to the incredible abun dance of datasets. They typically use clustering to understand the structure of the datasets before applying other methods to infer ...
Artículo
openSkies - Integration of Aviation Data into the R Ecosystem
(The R Foundation, 2021)
Aviation data has become increasingly more accessible to the public thanks to the adoption of technologies such as Automatic Dependent Surveillance-Broadcast (ADS-B) and Mode S, which provide aircraft information over ...
Artículo
Generation of synthetic data with Conditional Generative Adversarial Networks
(Oxford University Press, 2022)
The generation of synthetic data is becoming a fundamental task in the daily life of any organization due to the new protection data laws that are emerging. Because of the rise in the use of Artificial Intelligence, one ...
Artículo
A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
(MDPI, 2023-02)
Renewable energies, such as solar and wind power, have become promising sources of energy to address the increase in greenhouse gases caused by the use of fossil fuels and to resolve the current energy crisis. Integrating ...