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dc.contributor.authorPulido, Ruben
dc.contributor.authorSieb, Christoph
dc.contributor.editorHärder, Theo
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorSchöning, Harald
dc.contributor.editorSchwarz, Holger
dc.date.accessioned2019-01-17T10:36:47Z
dc.date.available2019-01-17T10:36:47Z
dc.date.issued2011
dc.identifier.isbn978-3-88579-274-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/19605
dc.description.abstractDuring the last decade data mining and predictive tools have evolved to a mature level. Many companies and organizations use those techniques to derive advanced insight from their company data. Today, mining experts analyze the data and manually deliver the results to a rather small number of decision makers. To make data mining insights available to a broader audience, manual delivery is not sufficient anymore. Suitable delivery vehicles are reporting systems, which are well known to business users. However, in most cases there is no straight forward delivery path. Much manual work and knowledge is necessary to make the insights consumable by reporting systems. In this work we propose a system that allows fast and easy delivery of data mining insights to report servers. The system automatically analyzes and transforms mining results, generates reports and deploys them to the report server.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-180
dc.titleFast and easy delivery of data mining insights to reporting systemsen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages616-625
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationKaiserslautern
mci.conference.date02.-04.03.2011


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