The 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. © 2011 Springer-Verlag.
CITATION STYLE
Nagel, U., Thiel, K., Kötter, T., Pia̧tek, D., & Berthold, M. R. (2011). Bisociative discovery of interesting relations between domains. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7014 LNCS, pp. 306–317). https://doi.org/10.1007/978-3-642-24800-9_29
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