Large-scale, highly interconnected networks, which are often modeled as graphs, pervade both our society and the natural world around us. Uncertainty, on the other hand, is inherent in the underlying data due to a variety of reasons, such as noisy measurements, lack of precise information needs, inf...

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Bibliographische Detailangaben

Hauptverfasser:	Khan, Arijit (VerfasserIn), Ye, Yuan (VerfasserIn), Chen, Lei 1972- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	[San Rafael, California] Morgan & Claypool Publishers [2018]
Schriftenreihe:	Synthesis lectures on data management #48
Schlagworte:	Uncertainty (Information theory) > Graphic methods Graphisches Modell Netzwerk Unvollkommene Information
Online-Zugang:	Volltext
Zusammenfassung:	Large-scale, highly interconnected networks, which are often modeled as graphs, pervade both our society and the natural world around us. Uncertainty, on the other hand, is inherent in the underlying data due to a variety of reasons, such as noisy measurements, lack of precise information needs, inference and prediction models, or explicit manipulation, e.g., for privacy purposes. Therefore, uncertain, or probabilistic, graphs are increasingly used to represent noisy linked data in many emerging application scenarios, and they have recently become a hot topic in the database and data mining communities. Many classical algorithms such as reachability and shortest path queries become #P-complete and, thus, more expensive over uncertain graphs. Moreover, various complex queries and analytics are also emerging over uncertain networks, such as pattern matching, information diffusion, and influence maximization queries. In this book, we discuss the sources of uncertain graphs and their applications, uncertainty modeling, as well as the complexities and algorithmic advances on uncertain graphs processing in the context of both classical and emerging graph queries and analytics. We emphasize the current challenges and highlight some future research directions
Beschreibung:	Part of: Synthesis digital library of engineering and computer science Title from PDF title page (viewed on August 1, 2018)
Beschreibung:	1 Online-Resource (xiii, 80 Seiten) Illustrationen
ISBN:	9781681730387
DOI:	10.2200/S00862ED1V01Y201807DTM048