Bisociative Discovery of Interesting Relations between Domains
Identifieur interne : 000704 ( Main/Exploration ); précédent : 000703; suivant : 000705Bisociative Discovery of Interesting Relations between Domains
Auteurs : Uwe Nagel [Allemagne] ; Kilian Thiel [Allemagne] ; Tobias Kötter [Allemagne] ; Dawid Pi Tek [Allemagne] ; R. Berthold [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: 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.
Url:
DOI: 10.1007/978-3-642-24800-9_29
Affiliations:
- Allemagne
- Bade-Wurtemberg, District de Fribourg-en-Brisgau
- Constance (Allemagne)
- Université de Constance
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- to stream Istex, to step Corpus: 001676
- to stream Istex, to step Curation: 001321
- to stream Istex, to step Checkpoint: 000271
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- to stream Main, to step Curation: 000704
Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: 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.</div>
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