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Exploring Databases via Reverse Engineering Ranking Queries with PALEO

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dc.contributor.authorPanev, Kiril
dc.contributor.authorMichel, Sebastian
dc.contributor.authorMilchevski, Evica
dc.contributor.authorPal, Koninika
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-20T20:24:48Z
dc.date.available2017-06-20T20:24:48Z
dc.date.issued2017
dc.description.abstractA novel approach to explore databases using ranked lists is demonstrated. Working with ranked lists, capturing the relative performance of entities, is a very intuitive and widely applicable concept. Users can post lists of entities for which explanatory SQL queries and full result lists are returned. By refining the input, the results, or the queries, users can interactively explore the database content. The demonstrated system was previously presented at VLDB 2016 and is centered around our PALEO framework for reverse engineering OLAP-style database queries. How is this useful for exploring data?en
dc.identifier.isbn978-3-88579-659-6
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-265
dc.titleExploring Databases via Reverse Engineering Ranking Queries with PALEOen
dc.typeText/Conference Paper
gi.citation.endPage618
gi.citation.startPage617
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleDemo Program

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