Bitmap indexes are known to be efficient for ad-hoc range queries that are common in data warehousing and scientific applications. However, they suffer from the curse of cardinality, that is, their efficiency deteriorates as attribute cardinalities increase. A number of strategies have been proposed, but none of them addresses the problem adequately. In this paper, we propose a novel binned bit...

This paper studies quantization error in the context of Matching Pursuit coded streams. The quantization noise is shown to depend on error on both coefficients and indexes. It is moreover influenced by the redundancy of the Matching Pursuit dictionary. A novel general formulation of the structural redundancy in overcomplete decompositions is shown to enhance the accuracy of classical redundancy...

Recently, numerous promising results have shown that updatable learned indexes can perform better than traditional with much lower memory space consumption. But it is unknown how these compare against each other and the ones under realistic workloads changing data distributions concurrency levels. This makes practitioners still wary about new would actually behave in practice. To fill this gap,...

Although the agricultural sector consumes more than 90% of the extracted water, its efficiency is lower than other sectors. Also, according to the population growth and critical role of food security, and the necessity to supply water to other sectors, an increasing pressure to save water, optimized consumption and increasing water use productivity in agriculture will occur in the future. Nowad...