The task of similarity search in image databases has been studied for decades, while there have been many feature extraction techniques proposed. Among the mass of low-level techni...
When searching databases of nucleotide or protein sequences, finding a local alignment of two sequences is one of the main tasks. Since the sizes of available databases grow const...
Abstract. Several actions are usually performed when document is appended to textual database in information retrieval system. The most frequent actions are compression of the docu...
Databases are growing rapidly in scale and complexity. High performance, availability, and further service level agreements need to be satisfied under any circumstances to please ...
David Wiese, Gennadi Rabinovitch, Michael Reichert...
Abstract. The problem of dealing with inconsistent data while integrating XML data from different sources is an important task, necessary to improve data integration quality. Typic...
Abstract. Accurate selectivity estimations are essential for query optimization decisions where they are typically derived from various kinds of histograms which condense value dis...
Abstract. We introduce a query language over sensors, streams and relations and formally describe its semantics. Although the language was specifically designed for sensor network ...
Christian Y. A. Brenninkmeijer, Ixent Galpin, Alva...
Abstract. k-Anonymisation is a technique for masking microdata in order to prevent individual identification. Besides preserving privacy, data anonymised by such a method must also...
Abstract. One problem faced by astronomers using the virtual observatory is finding which of the multitude of data resources is relevant for them. The current tool, VOExplorer, rel...