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dc.contributor.authorKöppl, Dominik-
dc.date.accessioned2015-11-26T15:36:44Z-
dc.date.available2015-11-26T15:36:44Z-
dc.date.issued2014-08-11-
dc.identifier.urihttp://hdl.handle.net/2003/34360-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-16434-
dc.description.abstractGiven a sequential data input, we tackle parallel dynamic skyline computation of the read data by means of a spatial tree structure for indexing fine-grained feature vectors. For this purpose, we modified the Skyline Breaker algorithm that solves skyline computation with multiple local split decision trees concurrently. With this approach, we propose an algorithm for dynamic skyline computation that inherits the robustness against the dimension curse and different data distributions.en
dc.language.isoende
dc.publisherLocal Proceedings of the Workshop on Massive Data Algorithmics (MASSIVE), Wrocław, 2014en
dc.relation.ispartofMassive Data 2014en
dc.subjectComputation of Pareto Fronten
dc.subjectDynamic Skyline Computationen
dc.subjectParallel Algorithmsen
dc.subjectGeometric Algorithmsen
dc.subject.ddc004-
dc.titleDynamic Skyline Computation with the Skyline Breaker Algorithmen
dc.typeTextde
dc.date.accepted2014-07-28-
dc.type.publicationtypeconferenceObjectde
dcterms.accessRightsopen access-
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