arXiv · 0807.4368
Improved Algorithms for Approximate String Matching (Extended Abstract)
Abstract
The problem of approximate string matching is important in many different areas such as computational biology, text processing and pattern recognition. A great effort has been made to design efficient algorithms addressing several variants of the problem, including comparison of two strings, approximate pattern identification in a string or calculation of the longest common subsequence that two strings share. We designed an output sensitive algorithm solving the edit distance problem between two strings of lengths n and m respectively in time O((s-|n-m|)min(m,n,s)+m+n) and linear space, where s is the edit distance between the two strings. This worst-case time bound sets the quadratic factor of the algorithm independent of the longest string length and improves existing theoretical bounds for this problem. The implementation of our algorithm excels also in practice, especially in cases where the two strings compared differ significantly in length. Source code of our algorithm is available at http://www.cs.miami.edu/dimitris/edit_distance
Explore related subjects
Keep this discovery
Dimitris Papamichail, Georgios Papamichail. 2008-07-28. Improved Algorithms for Approximate String Matching (Extended Abstract). https://arxiv.org/abs/0807.4368
Cite the original work for its findings. Save a collection to share your selection of sources.