General Database Statistics Using Entropy Maximization
DBPL '09 Proceedings of the 12th International Symposium on Database Programming Languages
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We consider random graphs, and their extensions to random structures, with edge probabilities of the form β n −α , where n is the number of vertices, α,β are fixed and α1 (αarity−1 for structures of higher arity). We consider conjunctive properties over these random graphs, and investigate the problem of computing their asymptotic conditional probabilities. This provides us a novel approach to dealing with uncertainty in databases, with applications to data privacy and other database problems.