By Hendrik Decker, Lenka Lhotská, Sebastian Link, Marcus Spies, Roland R. Wagner

ISBN-10: 3319100726

ISBN-13: 9783319100722

ISBN-10: 3319100734

ISBN-13: 9783319100739

This quantity set LNCS 8644 and LNCS 8645 constitutes the refereed lawsuits of the twenty fifth overseas convention on Database and professional platforms functions, DEXA 2014, held in Munich, Germany, September 1-4, 2014. The 37 revised complete papers provided including forty six brief papers, and a couple of keynote talks, have been rigorously reviewed and chosen from 159 submissions. The papers speak about a number themes together with: facts caliber; social internet; XML key-phrase seek; skyline queries; graph algorithms; details retrieval; XML; defense; semantic internet; category and clustering; queries; social computing; similarity seek; rating; facts mining; great facts; approximations; privateness; information trade; facts integration; net semantics; repositories; partitioning; and enterprise applications.

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Additional resources for Database and Expert Systems Applications: 25th International Conference, DEXA 2014, Munich, Germany, September 1-4, 2014. Proceedings, Part I

Example text

The authors of [11] propose a sampling algorithm to sample a connected sub-graph of size k under an approximately uniform distribution; note that this work provides no bound on the error relative to the uniform distribution. Sampling approaches are used in [19, 12] to estimate the selectivity of XML queries (containment join and twig queries, respectively). Nevertheless, the samples in [19] are specific to containment join queries, while those in [12] are representatives of the XML document for any twig queries.

A promising direction in achieving this goal is to seamlessly integrate defer-tobreakpoint strategy [18, 19] with visual query formulation tasks when reasoning about when to notify the user. , detection of empty results, query suggestion) in order to ensure notification delivery at optimal breakpoints that lower the interruption cost. A keen reader may observe that making aforementioned solutions interruption-sensitive essentially questions the holy grail of database research over the past forty years: whether faster evaluation is always better?

The unweighted sampling problem for binary trees can be solved in PTIME. Our general algorithm to solve this problem is given as Algorithm 1. The algorithm has two phases, which we study separately in what follows. For simplicity, whenever we discuss binary trees in this section, we will add special NULL children to every node of the tree (except NULL nodes themselves), so that all nodes, including leaf nodes, have exactly two children (which may be NULL). This will simplify the presentation of the algorithms.

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Database and Expert Systems Applications: 25th International Conference, DEXA 2014, Munich, Germany, September 1-4, 2014. Proceedings, Part I by Hendrik Decker, Lenka Lhotská, Sebastian Link, Marcus Spies, Roland R. Wagner


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