During recent years, new software engineering paradigms like component-based software engineering and COTS-based development have emerged. Both paradigms are concerned with reuse and customisation of existing components. The use of COTS software has become more and more important in state-of-the-art…

The structured techniques for systems analysis and design are still the most widely known. One of the alternatives of this technique is the JAD methodology (Joint Application Design). This methodology is an improvement with respect to the existing ones -…

Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they can be used to improve integration…

This article describes strategies devised to improve the efficiency of two classical index data structures for parallel textual databases. The design and cost evaluation is effected on top of the bulk-synchronous model of parallel computing. This allows us to compare…

The genetic algorithms have seen applied in knowledge discovery and specially for discovering association rules. In this paper, we explore the use of di erent rule quality measures in the tness function in a genetic algorithm for discovering association rules.…

Manipulating and retrieving multimedia data has received increasing attention with the advent of cloud storage facilities. The ability of querying by similarity over large data collections is mandatory to improve storage and user interfaces. But, all of them are expensive…

Clustering of short texts is an important research area because of its applicability in information retrieval and text mining. To this end was proposed CLUDIPSO, a discrete Particle Swarm Optimization algorithm to cluster short texts. Initial results showed that CLUDIPSO…

Using COTS software promises faster time-to-market, which can yield substantial advantages over competitors with regards to earlier placement of a new product on a market. At the same time, component-based software introduces risks, such as unknown quality properties of the…

During the last years a lot of projects and lines of research have emerged from different proposals trying to find the best way to reach data integration. Two powerful techniques have appeared separately – ontology and contextual information – in…

The star model, broadly used in data warehouse modeling, is a logical model, so its representation is strongly dependent on the database technology used for its implementation, usually relational. The method recommended for designing a dimensional system would be the…