Publikation: Towards Discovery of Subgraph Bisociations
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2012
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BERTHOLD, Michael R., ed.. Bisociative Knowledge Discovery. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 263-284. Lecture Notes in Computer Science. 7250. ISBN 978-3-642-31829-0. Available under: doi: 10.1007/978-3-642-31830-6_18
Zusammenfassung
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.
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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, 2012, pp. 263-284. Lecture Notes in Computer Science. 7250. ISBN 978-3-642-31829-0. Available under: doi: 10.1007/978-3-642-31830-6_18BibTex
@incollection{Nagel2012Towar-19465,
year={2012},
doi={10.1007/978-3-642-31830-6_18},
title={Towards Discovery of Subgraph Bisociations},
number={7250},
isbn={978-3-642-31829-0},
publisher={Springer Berlin Heidelberg},
address={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}
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<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>
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