Download PDF by Martin Theobald, Luc De Raedt, Maximilian Dylla, Angelika: Advances in Databases and Information Systems: 17th East

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 e-book constitutes the completely refereed complaints of the seventeenth East-European convention on Advances in Databases and knowledge 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 geared up in topical sections on ontologies; indexing; info mining; OLAP; XML information processing; querying; similarity seek; GPU; querying in parallel architectures; functionality evaluate; allotted architectures.

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Read Online or Download Advances in Databases and Information Systems: 17th East European Conference, ADBIS 2013, Genoa, Italy, September 1-4, 2013. Proceedings PDF

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Extra info for Advances in Databases and Information Systems: 17th East European Conference, ADBIS 2013, Genoa, Italy, September 1-4, 2013. Proceedings

Sample text

With this insight, we develop a two phased approach where we (1) find an arbitrary element e in the query range and (2) recursively retrieve all other elements (the neighbors of e) within the range. , what element is next to what other elements. Both phases are independent of overlap and density     as the first only depends on the height    of the R-tree-like  
 structure and the sec    
 ond only depends on the number of elements in the range query.

Tauheed et al. The experiment shown in Figure 2 where we increase the density of the dataset and measure point query performance of different R-tree based approaches [16,17,18] clearly demonstrates the problem of overlap. Point queries are a good indicator of overlap in R-Trees: the number of nodes retrieved from disk should be in the order of the height of the tree (five in this case) in the absence of overlap. As the results in Figure 2 show, however, the overlap grows rapidly with increasing dataset density, translating into a higher execution time and thus degraded performance.

This means that for every tuple in t ∈ QExp there is not tuple in Imp such that the tuple in Imp generated the tuple t, but the tuple in Imp does not satisfy the query. V Te , and the conditions for the explicit query and the condition in the algorithm for the implicit query are the same. per < P ; otherwise s satisfies the condition to be included in QImp , contrary to the assumption. 8 Conclusions In this work, we presented a new approach to cope efficiently with periodic data in relational databases.

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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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