Bisociative Discovery of Interesting Relations between Domains

Kurzanzeige
dc.contributor.authorNagel, Uwe
dc.contributor.authorThiel, Kilian
dc.contributor.authorKötter, Tobias
dc.contributor.authorPiatek, Dawid
dc.contributor.authorBerthold, Michael R.
dc.date.accessioned2012-02-06T13:20:59Zdeu
dc.date.available2012-02-06T13:20:59Zdeu
dc.date.issued2011
dc.description.abstractThe 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 can otherwise not be accomplished. In this paper, we propose a first formalization for the detection of such potentially interesting, domain-crossing relations based purely on structural properties of a relational knowledge description.eng
dc.description.versionpublished
dc.identifier.citation10th international symposium, IDA 2011, Porto, Portugal, October 29 - 31, 2011; proceedings / João Gama ... (eds.). - Berlin; Heidelberg : Springer, 2011. - S. 306-317. - (Advances in intelligent data analysis ; 10 und Lecture notes in computer science ; 7014). - ISBN 978-3-642-24799-6deu
dc.identifier.doi10.1007/978-3-642-24800-9_29deu
dc.identifier.ppn383811341deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/18006
dc.language.isoengdeu
dc.legacy.dateIssued2012-02-06deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subject.ddc004deu
dc.titleBisociative Discovery of Interesting Relations between Domainseng
dc.typeINPROCEEDINGSdeu
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kops.citation.bibtex
@inproceedings{Nagel2011Bisoc-18006,
  year={2011},
  doi={10.1007/978-3-642-24800-9_29},
  title={Bisociative Discovery of Interesting Relations between Domains},
  number={7014},
  isbn={978-3-642-24799-6},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={Advances in Intelligent Data Analysis X},
  pages={306--317},
  editor={Gama, João and Bradley, Elizabeth and Hollmén, Jaakko},
  author={Nagel, Uwe and Thiel, Kilian and Kötter, Tobias and Piatek, Dawid and Berthold, Michael R.}
}
kops.citation.iso690NAGEL, Uwe, Kilian THIEL, Tobias KÖTTER, Dawid PIATEK, Michael R. BERTHOLD, 2011. Bisociative Discovery of Interesting Relations between Domains. In: GAMA, João, ed., Elizabeth BRADLEY, ed., Jaakko HOLLMÉN, ed.. Advances in Intelligent Data Analysis X. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 306-317. Lecture Notes in Computer Science. 7014. ISBN 978-3-642-24799-6. Available under: doi: 10.1007/978-3-642-24800-9_29deu
kops.citation.iso690NAGEL, Uwe, Kilian THIEL, Tobias KÖTTER, Dawid PIATEK, Michael R. BERTHOLD, 2011. Bisociative Discovery of Interesting Relations between Domains. In: GAMA, João, ed., Elizabeth BRADLEY, ed., Jaakko HOLLMÉN, ed.. Advances in Intelligent Data Analysis X. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 306-317. Lecture Notes in Computer Science. 7014. ISBN 978-3-642-24799-6. Available under: doi: 10.1007/978-3-642-24800-9_29eng
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kops.sourcefieldGAMA, João, ed., Elizabeth BRADLEY, ed., Jaakko HOLLMÉN, ed.. <i>Advances in Intelligent Data Analysis X</i>. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 306-317. Lecture Notes in Computer Science. 7014. ISBN 978-3-642-24799-6. Available under: doi: 10.1007/978-3-642-24800-9_29deu
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kops.sourcefield.plainGAMA, João, ed., Elizabeth BRADLEY, ed., Jaakko HOLLMÉN, ed.. Advances in Intelligent Data Analysis X. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 306-317. Lecture Notes in Computer Science. 7014. ISBN 978-3-642-24799-6. Available under: doi: 10.1007/978-3-642-24800-9_29eng
kops.submitter.emailchristine.agorastos@uni-konstanz.dedeu
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source.contributor.editorGama, João
source.contributor.editorBradley, Elizabeth
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source.publisherSpringer Berlin Heidelberg
source.publisher.locationBerlin, Heidelberg
source.relation.ispartofseriesLecture Notes in Computer Science
source.titleAdvances in Intelligent Data Analysis X

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