Mining Frequent Subgraph Patterns from Uncertain Graph Data

In many real applications, graph data is subject to uncertainties due to incompleteness and imprecision of data. Mining such uncertain graph data is semantically different from and computationally more challenging than mining conventional exact graph data. This paper investigates the problem of mini...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2010-09, Vol.22 (9), p.1203-1218
Hauptverfasser:	Zou, Zhaonian, Li, Jianzhong, Gao, Hong, Zhang, Shuo
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithm Algorithm design and analysis Algorithms Approximation Bioinformatics Data mining DNA frequent subgraph pattern Graph mining Graphs Mathematical analysis Mathematical models Mining Network topology Predictive models Proteins Studies Tolerances uncertain graph Uncertainty Wireless networks
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