By Martin Theobald, Luc De Raedt, Maximilian Dylla, Angelika Kimmig, Iris Miliaraki (auth.), Barbara Catania, Giovanna Guerrini, Jaroslav Pokorný (eds.)

ISBN-10: 3642406823

ISBN-13: 9783642406829

ISBN-10: 3642406831

ISBN-13: 9783642406836

This ebook constitutes the completely refereed complaints of the seventeenth East-European convention on Advances in Databases and data structures, ADBIS 2013, held in Genoa, Italy, in September 2013. The 26 revised complete papers awarded including 3 invited papers have been conscientiously chosen and reviewed from ninety two submissions. The papers are equipped in topical sections on ontologies; indexing; information mining; OLAP; XML information processing; querying; similarity seek; GPU; querying in parallel architectures; functionality review; dispensed architectures.

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To prefetch for the nth query, SCOUT thus only needs to consider the set of branches leaving the (n − 2)th query and the set of branches entering the n − 1th (most recent) query. The branch followed is in the intersection of both sets. As the number of queries in a series increases, the number of branches in the intersection between two consecutive queries decreases continuously and the branch the user follows can be identified reliably. Figure 6 illustrates how through iteratively reducing the set of candidates, SCOUT can reliably identify the structure the scientist follows after only a few queries.

An ) (where A1 , . . , An are standard non-temporal attributes), a periodic relation r (in our example we termed Activity) is a relation defined over the schema RP = (A1 , . . , An | V TS , V TE , Per, PatID) where: – – – – V TS is a timestamp representing the starting point of the ‘frame time’ V TE is a timestamp representing the ending point of the‘frame time’ Per is an interval, representing the duration of the repetition pattern PatID is an identifier, denoting a periodic pattern In addition, in order to code periodic patterns, an additional dedicated relation (a valid-time relation, in the sense of TSQL2) is needed (called Pattern relation).

Data Mining the SDSS SkyServer Database. Technical Report, MSR-TR-200201, Microsoft Research (2002) 3. 5 Terabyte Earthquake Simulation on the Earth Simulator. In: International Conference on Supercomputing, SC 2003 (2003) 4. : The Blue Brain Project. Nature Reviews Neuroscience 7(2), 153–160 (2006) 5. : Multidimensional Access Methods. ACM Computing Surveys 30(2) (1998) 6. : R-trees: a Dynamic Index Structure for Spatial Searching. In: SIGMOD 1984 (1984) 7. : Identifying, Tabulating, and Analyzing Contacts Between Branched Neuron Morphologies.

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Advances in Databases and Information Systems: 17th East European Conference, ADBIS 2013, Genoa, Italy, September 1-4, 2013. Proceedings by Martin Theobald, Luc De Raedt, Maximilian Dylla, Angelika Kimmig, Iris Miliaraki (auth.), Barbara Catania, Giovanna Guerrini, Jaroslav Pokorný (eds.)

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