Titlebook: Business Intelligence; Third European Summe Esteban Zimányi Textbook 2014 Springer Nature Switzerland AG 2014 Big Data.Business intelligenc

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978-3-319-05460-5Springer Nature Switzerland AG 2014

長(zhǎng)矛

Global Justice and Civil Society,attern mining. Pattern mining is often defined as the automatic search for interesting patterns and regularities in large databases. In practise this definition most often comes down to listing all patterns that exceed a user-defined threshold for a fixed interestingness measure. The simplest such p

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Cultivate

coagulation

Bianca Mitu,Stamatis Poulakidakosnces in this direction and despite the technical challenges behind such approach recent advances have shown its feasibility. Semantic-aware formalisms (such as RDF and ontology languages) have been successfully put in practice in approaches such as Linked Data, whereas movements like Open Data have

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Taneli Heikka,Katja Valaskivi,Turo Uskaliave been focusing on optimizing such queries by means of materialized views, data and index partitioning, as well as various index structures including: join indexes, bitmap join indexes, multidimensional indexes or index-based multidimensional clusters. These structures neither well support navigat

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Business Intelligence978-3-319-05461-2Series ISSN 1865-1348 Series E-ISSN 1865-1356

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Global Justice and Civil Society,bgraphs. In the second part of the paper we then look into the pattern explosion problem. Due to redundancy among patterns, most often the list of all patterns satisfying the frequency thresholds is so large that post-processing is required to extract useful information from them. We give an overvie