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On Uncertain Graphs (Paperback)
Loot Price: R1,539
Discovery Miles 15 390
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On Uncertain Graphs (Paperback)
Series: Synthesis Lectures on Data Management
Expected to ship within 10 - 15 working days
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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.
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