Abstract
We implemented our new approach for efficient similarity search in large databases of tree structures. Our experiments show that filtering significantly accelerates the complex task of similarity search for tree-structured objects. Moreover, they show that no single feature of a tree is sufficient for effective filtering, but only the combination of structural and content-based filters yields good results.
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