Bisociative knowledge discovery

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BERTHOLD, Michael R., 2011. Bisociative knowledge discovery. In: GAMA, João, ed., Elizabeth BRADLEY, ed., Jaakko HOLLMÉN, ed.. Advances in Intelligent Data Analysis X. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 1-7. ISBN 978-3-642-24799-6

@inproceedings{Berthold2011Bisoc-19323, title={Bisociative knowledge discovery}, year={2011}, doi={10.1007/978-3-642-24800-9_1}, number={7014}, isbn={978-3-642-24799-6}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Lecture Notes in Computer Science}, booktitle={Advances in Intelligent Data Analysis X}, pages={1--7}, editor={Gama, João and Bradley, Elizabeth and Hollmén, Jaakko}, author={Berthold, Michael R.} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/19323"> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/19323"/> <dcterms:issued>2011</dcterms:issued> <dcterms:title>Bisociative knowledge discovery</dcterms:title> <dc:rights>deposit-license</dc:rights> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-05-22T09:23:19Z</dc:date> <dcterms:bibliographicCitation>Advances in intelligent data analysis X : 10th international symposium, IDA 2011, Porto, Portugal, October 29 - 31, 2011 ; proceedings / João Gama... (eds.). - Heidelberg [u.a.] : Springer, 2011. - S. 1-7. - (Lecture notes in computer science ; 7014). - ISBN 978-3-642-24799-6</dcterms:bibliographicCitation> <dc:contributor>Berthold, Michael R.</dc:contributor> <dcterms:abstract xml:lang="eng">Data analysis generally focusses on finding patterns within a reasonably well connected domain of interest. In this article we focus on the discovery of new connections between domains (so called bisociations), supporting the creative discovery process in a novel way. We motivate this approach, show the difference to classical data analysis and conclude by briefly illustrating some types of domain-crossing connections along with illustrative examples.</dcterms:abstract> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-05-22T09:23:19Z</dcterms:available> <dc:language>eng</dc:language> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dc:creator>Berthold, Michael R.</dc:creator> </rdf:Description> </rdf:RDF>

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