Towards bisociative knowledge discovery

Authors:
Michael R. Berthold
Affiliations:
Nycomed Chair for Bioinformatics and Information Mining, Department of Computer and Information Science, University of Konstanz, Germany
Venue:
Bisociative Knowledge Discovery
Year:
2012

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Abstract

Knowledge discovery generally focuses on finding patterns within a reasonably well connected domain of interest. In this article we outline a framework for the discovery of new connections between domains (so called bisociations), supporting the creative discovery process in a more powerful way. We motivate this approach, show the difference to classical data analysis and conclude by describing a number of different types of domain-crossing connections.