Abstract
The edit distance between two strings S and R is defined to be the minimum number of character inserts, deletes, and changes needed to convert R to S. Given a text string t of length n, and a pattern string p of length m, informally, the string edit distance matching problem is to compute the smallest edit distance between p and substrings of t.We relax the problem so that: (a) we allow an additional operation, namely, substring moves; and (b) we allow approximation of this string edit distance. Our result is a near-linear time deterministic algorithm to produce a factor of O(log n log* n) approximation to the string edit distance with moves. This is the first known significantly subquadratic algorithm for a string edit distance problem in which the distance involves nontrivial alignments. Our results are obtained by embedding strings into L1 vector space using a simplified parsing technique, which we call edit-sensitive parsing (ESP).
Original language | English (US) |
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Article number | 1219947 |
Journal | ACM Transactions on Algorithms |
Volume | 3 |
Issue number | 1 |
DOIs | |
State | Published - Feb 1 2007 |
Keywords
- Approximate pattern matching
- Data streams
- Edit distance
- Embedding
- Similarity search
- String matching
ASJC Scopus subject areas
- Mathematics (miscellaneous)