Laboratorio de Bases de Datos (LBD): Envíos recentes
Mostrando ítems 41-45 de 76
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Graph Compression for Adjacency-Matrix Multiplication
(Springer, 2022)[Abstract] Computing the product of the (binary) adjacency matrix of a large graph with a real-valued vector is an important operation that lies at the heart of various graph analysis tasks, such as computing PageRank. In ... -
Combining Multiple Granularity Variability in a Software Product Line Approach for Web Engineering
(Elsevier, 2022)[Abstract] Context: Web engineering involves managing a high diversity of artifacts implemented in different languages and with different levels of granularity. Technological companies usually implement variable artifacts ... -
Boosting Perturbation-Based Iterative Algorithms to Compute the Median String
(IEEE, 2021)[Abstract] The most competitive heuristics for calculating the median string are those that use perturbation-based iterative algorithms. Given the complexity of this problem, which under many formulations is NP-hard, the ... -
Modeling the Number of People Infected With SARS-COV-2 From Wastewater Viral Load in Northwest Spain
(Elsevier, 2022)[Abstract] The quantification of the SARS-CoV-2 RNA load in wastewater has emerged as a useful tool to monitor COVID–19 outbreaks in the community. This approach was implemented in the metropolitan area of A Coruña (NW ... -
Space-Efficient Representations of Raster Time Series
(Elsevier, 2021)[Abstract] Raster time series, a.k.a. temporal rasters, are collections of rasters covering the same region at consecutive timestamps. These data have been used in many different applications ranging from weather forecast ...