Bisociative knowledge discovery

Berthold, Michael R.

Bisociative knowledge discovery

Dateien

Berthold_193230.pdfGröße: 383.33 KBDownloads: 419

Datum

2011

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen 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

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.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

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, 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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Universitätsbibliographie

Ja