Simple fast algorithms for the editing distance between trees and related problems
SIAM Journal on Computing
Fast algorithms for the unit cost editing distance between trees
Journal of Algorithms
The Tree-to-Tree Correction Problem
Journal of the ACM (JACM)
New algorithm for ordered tree-to-tree correction problem
Journal of Algorithms
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Approximating Edit Distance Efficiently
FOCS '04 Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science
Low distortion embeddings for edit distance
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
XML stream processing using tree-edit distance embeddings
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Similarity evaluation on tree-structured data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
A survey on tree edit distance and related problems
Theoretical Computer Science
Approximating Tree Edit Distance through String Edit Distance for Binary Tree Codes
SOFSEM '09 Proceedings of the 35th Conference on Current Trends in Theory and Practice of Computer Science
Sibling Distance for Rooted Labeled Trees
New Frontiers in Applied Data Mining
Constant Factor Approximation of Edit Distance of Bounded Height Unordered Trees
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
A bisection algorithm for grammar-based compression of ordered trees
Information Processing Letters
A metric for rooted trees with unlabeled vertices based on nested parentheses
Theoretical Computer Science
Approximating Tree Edit Distance through String Edit Distance for Binary Tree Codes
Fundamenta Informaticae
Approximating tree edit distance through string edit distance
ISAAC'06 Proceedings of the 17th international conference on Algorithms and Computation
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We consider a relationship between the unit cost edit distance for two rooted ordered trees and the unit cost edit distance for the corresponding Euler strings. We show that the edit distance between trees is at least half of the edit distance between the Euler strings and is at most 2h+1 times the edit distance between the Euler strings, where h is the minimum height of two trees. The result can be extended for more general cost functions.