Improving Classification Quality in Uncertain Graphs

In many real applications that use and analyze networked data, the links in the network graph may be erroneous or derived from probabilistic techniques. In such cases, the node classification problem can be challenging, since the unreliability of the links may affect the final results of the classif...

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Veröffentlicht in:	ACM journal of data and information quality 2019-01, Vol.11 (1), p.1-20
Hauptverfasser:	Dallachiesa, Michele, Aggarwal, Charu C., Palpanas, Themis
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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