Successful information management implies the ability to design accurate representations of the real world of interest, in spite of the diversity of perceptions from the applicati...
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
In this paper, we present the results that we have obtained by comparing and testing three well-known database middleware solutions. We have analyzed their features related to glo...
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...