I invented efficient algorithms for approximate string matching under the “entropy” metric which you can find on my LinkedIn profile. 5 Vijay Bendigeri, Ph.D.

The Swift standard library's string processing algorithms are underpowered compared to other popular programming and scripting languages. Some of these omissions can be found in NSString, but these ...

The Rabin-Karp algorithm is a string-searching algorithm devised by Michael O. Rabin and Richard M. Karp in 1987. Its main feature is the use of a hash function to find exact matches of a pattern ...

Fuzzy string matching allows for close, but not exactly, matching strings to be compared and extracted from bodies of text. As such, they are useful in systems which automatically extract and process ...

Levenshtein distance is an O (length longer string * length shorter string) algorithm, so running that against every string in a large dictionary is no fun. I came up with an approach that ...

First, we extract the strings of each executable and divide these into API calls and entire strings. Next, we use the Jaccard Coefficient, Longest Common Subsequence (LCS), and N-gram algorithms to ...