The String-to-String Correction Problem
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Journal of the ACM (JACM)
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Journal of the ACM (JACM)
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Journal of the ACM (JACM)
ACM Computing Surveys (CSUR)
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VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
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Structural similarity evaluation between XML documents and DTDs
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
A fine-grained XML structural comparison approach
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Bit-Parallel Algorithm for the Constrained Longest Common Subsequence Problem
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Solving longest common subsequence and related problems on graphical processing units
Software—Practice & Experience
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The Computational Hardness of Estimating Edit Distance
SIAM Journal on Computing
Practical linear space algorithms for computing string-edit distances
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Secure outsourcing of sequence comparisons
PET'04 Proceedings of the 4th international conference on Privacy Enhancing Technologies
Web Semantics: Science, Services and Agents on the World Wide Web
Efficient tabling of structured data using indexing and program transformation
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A bibliography on computational molecular biology and genetics
Mathematical and Computer Modelling: An International Journal
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Computer Science Review
The hardness of counting full words compatible with partial words
Journal of Computer and System Sciences
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The string editing problem is to determine the distance between two strings as measured by the minimal cost sequence of deletions, insertions, and changes of symbols needed to transform one string into the other. The longest common subsequence problem can be viewed as a special case. Wagner and Fischer proposed an algorithm that runs in time O(nm), where n, m are the lengths of the two strings. In the present paper, it is shown that if the operations on symbols of the strings are restricted to tests of equality, then O(nm) operations are necessary (and sufficient) to compute the distance.