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Given a large graph and a set of objects, the task of object connection discovery is to find a subgraph that retains the best connection between the objects. Object connection discovery is useful to many important applications such as discovering the connection between different terrorist groups for counter-terrorism operations. Existing work considers only the connection between individual objects;...
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, research on correlation mining from graph databases is still lacking despite the proliferation of graph data in recent years. We propose a new problem of correlation mining from graph databases, called correlated graph search (CGS). CGS adopts Pearson's...
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