Abstract. Accurate selectivity estimations are essential for query optimization decisions where they are typically derived from various kinds of histograms which condense value dis...
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...
Abstract. In this paper, we describe how the BBC is working to integrate data and linking documents across BBC domains by using Semantic Web technology, in particular Linked Data, ...
Georgi Kobilarov, Tom Scott, Yves Raimond, Silver ...
Abstract. In this paper we aim at extending the non-derivable condensed representation in frequent itemset mining to sequential pattern mining. We start by showing a negative examp...
Language-centric methodologies, triggered by the success of Domain Specific Languages, rely on precise specifications of modeling s. While the definition of the abstract syntax ...