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2008
Springer

Graph Summaries for Subgraph Frequency Estimation

11 years 7 months ago
Graph Summaries for Subgraph Frequency Estimation
A fundamental problem related to graph structured databases is searching for substructures. One issue with respect to optimizing such searches is the ability to estimate the frequency of substructures within a query graph. In this work, we present and evaluate two techniques for estimating the frequency of subgraphs from a summary of the data graph. In the first technique, we assume that edge occurrences on edge sequences are position independent and summarize only the most informative dependencies. In the second technique, we prune small subgraphs using a valuation scheme that blends information about their importance and estimation power. In both techniques, we assume conditional independence to estimate the frequencies of larger subgraphs. We validate the effectiveness of our techniques through experiments on real and synthetic datasets.
Angela Maduko, Kemafor Anyanwu, Amit P. Sheth, Pau
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where ESWS
Authors Angela Maduko, Kemafor Anyanwu, Amit P. Sheth, Paul Schliekelman
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