Title
Dynamic Edit Distance Table under a General Weighted Cost Function
Abstract
String comparison is a fundamental task in theoretical computer science, with applications in e.g., spelling correction and computational biology. Edit distance is a classic similarity measure between two given strings A and B. It is the minimum total cost for transforming A into B, or vice versa, using three types of edit operations: single-character insertions, deletions, and/or substitutions.
Year
DOI
Venue
2010
10.1016/j.jda.2015.05.007
conference on current trends in theory and practice of informatics
Keywords
Field
DocType
theoretical computer science,fundamental task,classic similarity measure,minimum total cost,single-character insertion,dynamic edit distance table,computational biology,general weighted cost,string comparison,edit distance,dynamic programming
Edit distance,String-to-string correction problem,Discrete mathematics,Dynamic programming,Combinatorics,Wagner–Fischer algorithm,Unit cost,Jaro–Winkler distance,Damerau–Levenshtein distance,Mathematics,Computation
Conference
Volume
Issue
ISSN
34
C
1570-8667
Citations 
PageRank 
References 
3
0.46
14
Authors
3
Name
Order
Citations
PageRank
Heikki Hyyrö114315.04
Kazuyuki Narisawa2336.82
Shunsuke Inenaga359579.02