Logo des Repositoriums
 

Fast and easy delivery of data mining insights to reporting systems

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.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.identifier.isbn978-3-88579-274-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19605
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
gi.citation.endPage625
gi.citation.publisherPlaceBonn
gi.citation.startPage616
gi.conference.date02.-04.03.2011
gi.conference.locationKaiserslautern
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
616.pdf
Größe:
826.48 KB
Format:
Adobe Portable Document Format