The topic of this paper is the exploration of the various characteristics of the wavelet tree
data structure, a data structure that was initially proposed for text compression applications …

We present efficient algorithms to compute two spatial queries over points stored in compact
data structures. The former is the K-Nearest Neighbors Query (KNN) which given a point q …

Deduplication is widely used to effectively increase the logical capacity of large-scale
storage systems, by replacing redundant chunks of data with references to their unique …

We present efficient algorithms to compute simple and complex map algebra operations
over raster data stored in main memory, using the k 2-acc compact data structure. Raster …

Correct and accurate retrieval of geographical information is still a challenging task as the
contents on Internet are growing massively every day. Indexing geographical information …

Abstract The extensible Markup Language (XML) has evolved into a widespread standard
for representation of voluminous data and data exchange among heterogeneous sources …

We report efficient algorithms to compute the map algebra operations thresholding,
sum/multiplication by a scalar, point-wise sum, and zonal sum over raster data stored in …

Proximity searches in metric spaces are related with several real world applications, as
pattern recognition and multimedia information retrieval. Information has grown larger with …

Big Data es un concepto que ha tomado bastante atención en el área de ciencias de la
computación en los últimos años, y trata el problema de gestionar, analizar y procesar …

Boa parte das ferramentas para o sequenciamento do DNA baseado nas plataformas de
alto desempenho ditas de nova geração, especificamente as destinadas à montagem dos …