Simple fast algorithms for the editing distance between trees and related problems
SIAM Journal on Computing
Some MAX SNP-hard results concerning unordered labeled trees
Information Processing Letters
Randomized algorithms
The Tree-to-Tree Correction Problem
Journal of the ACM (JACM)
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
Approximation and Special Cases of Common Subtrees and Editing Distance
ISAAC '96 Proceedings of the 7th International Symposium on Algorithms and Computation
Computing the Edit-Distance between Unrooted Ordered Trees
ESA '98 Proceedings of the 6th Annual European Symposium on Algorithms
Efficient randomized pattern-matching algorithms
IBM Journal of Research and Development - Mathematics and 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
The Art of Computer Programming, Volume 4, Fascicle 4: Generating All Trees--History of Combinatorial Generation (Art of Computer Programming)
A relation between edit distance for ordered trees and edit distance for Euler strings
Information Processing Letters
Improved approximation of the largest common subtree of two unordered trees of bounded height
Information Processing Letters
An optimal decomposition algorithm for tree edit distance
ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
Efficient exponential time algorithms for edit distance between unordered trees
CPM'12 Proceedings of the 23rd Annual conference on Combinatorial Pattern Matching
Theoretical Computer Science
Efficient exponential-time algorithms for edit distance between unordered trees
Journal of Discrete Algorithms
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The edit distance problem on two unordered trees is known to be MAX SNP-hard. In this paper, we present an approximation algorithm whose approximation ratio is 2h + 2, where we consider unit cost edit operations and h is the maximum height of the two input trees. The algorithm is based on an embedding of unit cost tree edit distance into L 1 distance. We also present an efficient implementation of the algorithm using randomized dimension reduction.