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Use of algorithms for a user specific reduction of amounts of interesting association rules

dc.contributor.authorWenke, Birgit
dc.contributor.editorEichler, Gerald
dc.contributor.editorKropf, Peter
dc.contributor.editorLechner, Ulrike
dc.contributor.editorMeesad, Phayung
dc.contributor.editorUnger, Herwig
dc.date.accessioned2019-01-11T09:33:32Z
dc.date.available2019-01-11T09:33:32Z
dc.date.issued2010
dc.description.abstractThe huge amounts of stored digital data, which are nowadays available in many domains contain lots of previously unknown coherences. For the user it is often difficult or unfeasible to find those coherences he is interested in without any technical support. One kind of these coherences are association rules. This paper presents an iterative procedure which supports the user in finding these association rules he is interested in, by considering his interests without the explicit formulation of these interests by the user in advance. The procedure presents iteratively association rules to the user, who has to value each of them as interesting or uninteresting. With the help of a genetic algorithm the procedure learns interactively the interests of the user and formulates classification rules, which are used to classify the not yet presented association rules in the classes interesting and uninteresting so that only interesting classified association rules are presented to the user in the following. The procedure was evaluated on a standard dataset and a dataset of the web2.0 application flick. The evaluation results show, that the developed procedure is useful for both standard database applications and innovative web2.0 applications. Different genetic methods and scenarios of interests were evaluated. The most interesting evaluation results will be presented in this paper.en
dc.identifier.isbn978-3-88579-259-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19018
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof10th International Conferenceon Innovative Internet Community Systems (I2CS) – Jubilee Edition 2010 –
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-165
dc.titleUse of algorithms for a user specific reduction of amounts of interesting association rulesen
dc.typeText/Conference Paper
gi.citation.endPage236
gi.citation.publisherPlaceBonn
gi.citation.startPage223
gi.conference.dateJune 3-5, 2010
gi.conference.locationBangkok, Thailand
gi.conference.sessiontitleRegular Research Papers

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