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dc.contributor.authorMandl, Stefan
dc.contributor.authorKozachuk, Oleksandr
dc.contributor.authorEndres, Markus
dc.contributor.authorKießling, Werner
dc.contributor.editorSeidl, Thomas
dc.contributor.editorRitter, Norbert
dc.contributor.editorSchöning, Harald
dc.contributor.editorSattler, Kai-Uwe
dc.contributor.editorHärder, Theo
dc.contributor.editorFriedrich, Steffen
dc.contributor.editorWingerath, Wolfram
dc.date.accessioned2017-06-30T11:40:48Z
dc.date.available2017-06-30T11:40:48Z
dc.date.issued2015
dc.identifier.isbn978-3-88579-635-0
dc.identifier.issn1617-5468
dc.description.abstractSkyline queries and the more general concept of preferences are wellknown in the database community and there are many academic approaches for the computation of the best-matching objects. Furthermore, data analytics and multicriteria optimization play an important role in Business Intelligence where it facilitates optimal decision making. Preference Analytics is the combination of preferences and data analytics. SKYLINE is EXASOL's implementation of Preference Analytics in its commercial database management system EXASOLUTION. In this paper, we present SKYLINE from a user's perspective, describe algorithmic design decisions, and discuss its implementation in a distributed and parallel environment. The paper closes with an empirical evaluation of the system based on a number of preference queries over the TPC-H dataset using different scale factors.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2015)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-241
dc.titlePreference Analytics in EXASolutionen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages613-632
mci.conference.locationHamburg
mci.conference.date2.-3. März 2015


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