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El autor José R. Paramá ha publicado 3 artículo(s):

1 - Compact and queryable representation of raster datasets

Titulo: Compact and queryable representation of raster datasets Autores: Susana Ladra, José R. Paramá, Fernando Silva-Coira Congreso: INTERNATIONAL CONFERENCE ON SCIENTIFIC AND STATISTICAL DATA BASE MANAGEMENT (SSDBM) 2016 Clasificación Ranking SCIE. Clase 2 (A-) Clasidicación CORE: A Citas: 2 DOI: http://dx.doi.org/10.1145/2949689.2949710

Autores: Susana Ladra / José R. Paramá / Fernando Silva-Coira / 
Palabras Clave: Compresión de datos - Ráster - Sistemas de Informacíon Geográfica

2 - Scalable and queryable compressed storage structure for raster data

Titulo: Scalable and queryable compressed storage structure for raster data Autores: Susana Ladra, José R. Paramá, Fernando Silva-Coira Revista: Information Systems Volume 72, December 2017, Pages 179-204Factor de impacto: 2.777Ranking JCR: Q2Citas: 1 DOI: https://doi.org/10.1016/j.is.2017.10.007

Autores: Susana Ladra / Jose R. Parama / Fernando Silva-Coira / 
Palabras Clave: Compresión de datos - Ráster - Sistemas de Informacíon Geográfica

3 - The largest empty circle in Spatial Databases

Given a set S of points in the two-dimensional space, which are stored in a spatial database, this work presents an efficient algorithm to find the empty circle, in the area delimited by those points, with thelargest area and containing only a query point q.Our algorithm adapts previous work in the field of computational geometry to be used in spatial databases, which require to manage large amounts of data. To achieve this objective, the basic idea is to discard a large part of the points of $S$, in such a way that the problem can be solved providing only the remaining points to a classical computational geometry algorithm that, by processing a smaller collection of points, saves main memory resources and computation time.The correctness of our algorithm is formally proven. In addition, we empirically show its efficiency and scalability by running a set of experiments using both synthetic and real data.

Autores: Gilberto Gutiérrez / Juan R. López / José R. Paramá / Miguel R. Penabad / 
Palabras Clave: geographical information systems - largest empty circle - query processing - Spatial databases