Advances in Databases and Information Systems by Barbara Catania, Giovanna Guerrini, Jaroslav Pokorny

Advances in Databases and Information Systems by Barbara Catania, Giovanna Guerrini, Jaroslav Pokorny

By Barbara Catania, Giovanna Guerrini, Jaroslav Pokorny

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-State-of-the-art report
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This booklet constitutes the completely refereed complaints of the seventeenth East-European convention on Advances in Databases and data platforms, ADBIS 2013, held in Genoa, Italy, in September 2013. The 26 revised complete papers provided including 3 invited papers have been rigorously chosen and reviewed from ninety two submissions. The papers are geared up in topical sections on ontologies; indexing; information mining; OLAP; XML information processing; querying; similarity seek; GPU; querying in parallel architectures; functionality review; allotted architectures.

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Boinski and M. Zakrzewicz instances consists in introduction of an additional data structure, called star neighborhoods, which serves as a data source for instances generation. In comparison with the join-based strategy, the number of potential collocation instances is dramatically reduced, however, some of them can form a star pattern instead of a clique, and therefore should be removed from the result set. In [7], the authors proposed a method that stores star neighborhoods in a tree structure.

In: Barzdins, J. ) Proceedings of the Sixth International Baltic Conference on Databases and Information Systems (DB&IS 2004). Scientific Papers. University of Latvia, vol. 672, pp. 270–281. University of Latvia (2004) 11. : A Partial Join Approach for Mining Co-location Patterns. , Ronthaler, M. ) GIS, pp. 241–249. ACM (2004) 12. : A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results. In: Proceedings of the IEEE International Conference on Data Mining, pp. 813–816. IEEE Computer Society, Washington (2005) Towards the Automated Business Model-Driven Conceptual Database Design Drazen Brdjanin and Slavko Maric Abstract.

Boinski and M. Zakrzewicz instances consists in introduction of an additional data structure, called star neighborhoods, which serves as a data source for instances generation. In comparison with the join-based strategy, the number of potential collocation instances is dramatically reduced, however, some of them can form a star pattern instead of a clique, and therefore should be removed from the result set. In [7], the authors proposed a method that stores star neighborhoods in a tree structure.

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