Morzy Tadeusz, Patrick Valduriez, Ladjel Bellatreche's Advances in Databases and Information Systems: 19th East PDF

By Morzy Tadeusz, Patrick Valduriez, Ladjel Bellatreche

ISBN-10: 3319231340

ISBN-13: 9783319231341

ISBN-10: 3319231359

ISBN-13: 9783319231358

This ebook constitutes the completely refereed court cases of the nineteenth East eu convention on Advances in Databases and data platforms, ADBIS 2015, held in Poitiers, France, in September 2015. The 31 complete papers and 18 brief papers provided have been conscientiously chosen and reviewed from one hundred thirty five submissions. The papers are prepared in topical sections similar to database thought and entry equipment; consumer necessities and database evolution; multidimensional modeling and OLAP; ETL; transformation, extraction and archiving; modeling and ontologies; time sequence processing; functionality and tuning; complex question processing; approximation and skyline; confidentiality and trust.

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Additional resources for Advances in Databases and Information Systems: 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015, Proceedings

Example text

Ser. B (Stat. ) 13(2), 238–241 (1951) 13. : Differential dependencies: reasoning and discovery. ACM Trans. Database Syst. 36(3), 16:1–16:41 (2011) 14. : Parameter-free determination of distance thresholds for metric distance constraints. In: 28th ICDE, pp. 846–857 (2012) 15. 3: collaboration of array, bitmap and prefix tree for frequent itemset mining. In: 1st International Workshop on Open Source Data Mining, pp. 77–86 (2005) Improving the Pruning Ability of Dynamic Metric Access Methods with Local Additional Pivots and Anticipation of Information Paulo H.

Ser. B (Stat. ) 13(2), 238–241 (1951) 13. : Differential dependencies: reasoning and discovery. ACM Trans. Database Syst. 36(3), 16:1–16:41 (2011) 14. : Parameter-free determination of distance thresholds for metric distance constraints. In: 28th ICDE, pp. 846–857 (2012) 15. 3: collaboration of array, bitmap and prefix tree for frequent itemset mining. In: 1st International Workshop on Open Source Data Mining, pp. 77–86 (2005) Improving the Pruning Ability of Dynamic Metric Access Methods with Local Additional Pivots and Anticipation of Information Paulo H.

MAMs rely on the premise that data are immersed in a metric space. e. feature vectors) and δ is a distance function δ : S×S → R+ , known as metric. A metric has properties called metric postulates [18] ∀x, y, z ∈ S: (i) δ(x, y) ≥ 0 (non-negativity), (ii) δ(x, y) = δ(y, x) (symmetry), (iii) x = y ⇐⇒ δ(x, y) = 0 (identity) and (iv) δ(x, z) ≤ δ(x, y) + δ(y, z) (triangular inequality). An important characteristic of metric spaces is that, in addition to comprehending vector spaces, they include dimensionless spaces.

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Advances in Databases and Information Systems: 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015, Proceedings by Morzy Tadeusz, Patrick Valduriez, Ladjel Bellatreche


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