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Bisociative knowledge discovery

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Berthold_193230.pdf
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2011

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http://nbn-resolving.de/urn:nbn:de:bsz:352-193230
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https://doi.org/10.1007/978-3-642-24800-9_1
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GAMA, João, ed., Elizabeth BRADLEY, ed., Jaakko HOLLMÉN, ed.. Advances in Intelligent Data Analysis X. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 1-7. Lecture Notes in Computer Science. 7014. ISBN 978-3-642-24799-6. Available under: doi: 10.1007/978-3-642-24800-9_1

Zusammenfassung

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.

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ISO 690BERTHOLD, 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, 2011, pp. 1-7. Lecture Notes in Computer Science. 7014. ISBN 978-3-642-24799-6. Available under: doi: 10.1007/978-3-642-24800-9_1
BibTex
@inproceedings{Berthold2011Bisoc-19323,
  year={2011},
  doi={10.1007/978-3-642-24800-9_1},
  title={Bisociative knowledge discovery},
  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={1--7},
  editor={Gama, João and Bradley, Elizabeth and Hollmén, Jaakko},
  author={Berthold, Michael R.}
}
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