Towards Discovery of Subgraph Bisociations


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NAGEL, Uwe, Kilian THIEL, Tobias KÖTTER, Dawid PIATEK, Michael R. BERTHOLD, 2012. Towards Discovery of Subgraph Bisociations. In: BERTHOLD, Michael R., ed.. Bisociative Knowledge Discovery. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 263-284. ISBN 978-3-642-31829-0

@incollection{Nagel2012Towar-19465, title={Towards Discovery of Subgraph Bisociations}, year={2012}, doi={10.1007/978-3-642-31830-6_18}, number={7250}, isbn={978-3-642-31829-0}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Lecture Notes in Computer Science}, booktitle={Bisociative Knowledge Discovery}, pages={263--284}, editor={Berthold, Michael R.}, author={Nagel, Uwe and Thiel, Kilian and Kötter, Tobias and Piatek, Dawid and Berthold, Michael R.}, note={Open Access} }

<rdf:RDF xmlns:rdf="" xmlns:bibo="" xmlns:dc="" xmlns:dcterms="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:contributor>Piatek, Dawid</dc:contributor> <bibo:uri rdf:resource=""/> <dc:creator>Thiel, Kilian</dc:creator> <dcterms:title>Towards Discovery of Subgraph Bisociations</dcterms:title> <dcterms:bibliographicCitation>Bisociative Knowledge Discovery : An Introduction to Concept, Algorithms, Tools, and Applications / Michael R. Berthold (ed.). - Heidelberg [u.a.] : Springer, 2012. - S. 263-284. - (Lecture Notes in Computer Science ; 7250 : Lecture notes in artificial intelligence). - ISBN 978-3-642-31829-0</dcterms:bibliographicCitation> <dc:date rdf:datatype="">2012-07-09T09:49:21Z</dc:date> <dc:creator>Nagel, Uwe</dc:creator> <dcterms:issued>2012</dcterms:issued> <dc:rights>deposit-license</dc:rights> <dc:contributor>Kötter, Tobias</dc:contributor> <dc:creator>Berthold, Michael R.</dc:creator> <dc:contributor>Thiel, Kilian</dc:contributor> <dcterms:abstract xml:lang="eng">The discovery of surprising relations in large, heterogeneous information repositories is gaining increasing importance in real world data analysis. If these repositories come from diverse origins, forming different domains, domain bridging associations between otherwise weakly connected domains can provide insights into the data that are not accomplished by aggregative approaches. In this paper, we propose a first formalization for the detection of such potentially interesting, domaincrossing relations based purely on structural properties of a relational knowledge description.</dcterms:abstract> <dc:contributor>Berthold, Michael R.</dc:contributor> <dcterms:rights rdf:resource=""/> <dc:creator>Kötter, Tobias</dc:creator> <dc:creator>Piatek, Dawid</dc:creator> <dc:language>eng</dc:language> <dc:contributor>Nagel, Uwe</dc:contributor> <dcterms:available rdf:datatype="">2012-07-09T09:49:21Z</dcterms:available> </rdf:Description> </rdf:RDF>

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