Linking Data According to Their Degree of Representativeness (DoR)

This contribution addresses the problem of extracting some representative data from complex datasets and connecting them in a directed graph. First we define a degree of representativeness (DoR) inspired of the Borda voting procedure. Secondly we present a method to connect pairwise data using neigh...

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Veröffentlicht in:EAI endorsed transactions on industrial networks and intelligent systems 2015-06, Vol.2 (4), p.e2
Hauptverfasser: Blanchard, Frédéric, Aït-Younes, Amine, Herbin, Michel
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Sprache:eng
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Zusammenfassung:This contribution addresses the problem of extracting some representative data from complex datasets and connecting them in a directed graph. First we define a degree of representativeness (DoR) inspired of the Borda voting procedure. Secondly we present a method to connect pairwise data using neighborhoods and the DoR as an objective function. We then present case studies as illustrative purposes: unsupervised grouping of binary images, analysis of co-authorships in a research team and structuration of a medical patient-oriented database.
ISSN:2410-0218
2410-0218
DOI:10.4108/inis.2.4.e2