Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases is expensive due to the complexity of graph data. In this paper, we study the problem of mining top-k correlative subgraphs in the database, which share similar occurrence distributions with a given query graph. The se...

A fundamental question in causal inference is whether it is possible to reliably infer ma­ nipulation effects from observational data. There are a variety of senses of asymptotic reliability in the statistical literature, among which the most commonly discussed frequen­ tist notions are pointwise consistency and uniform consistency (see, e.g. Bickel, Dok­ sum [200 1]). Uniform consistency is in...