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Risk-Averse Matchings over Uncertain Graph Databases
[article]
2018
arXiv
pre-print
A large number of applications such as querying sensor networks, and analyzing protein-protein interaction (PPI) networks, rely on mining uncertain graph and hypergraph databases. In this work we study the following problem: given an uncertain, weighted (hyper)graph, how can we efficiently find a (hyper)matching with high expected reward, and low risk? This problem naturally arises in the context of several important applications, such as online dating, kidney exchanges, and team formation. We
arXiv:1801.03190v1
fatcat:srrnxa5kzrcwvdrxxxo5x4hz2a