Abstract
The normalized edit distance is one of the distances derived from the edit distance. It is useful in some applications because it takes into account the lengths of the two strings compared. The normalized edit distance is not defined in terms of edit operations but rather in terms of the edit path. In this paper we propose a new derivative of the edit distance that also takes into consideration the lengths of the two strings, but the new distance is related directly to the edit distance. The particularity of the new distance is that it uses the genetic algorithms to set the values of the parameters it uses. We conduct experiments to test the new distance and we obtain promising results.
Original language | English |
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Title of host publication | Advanced Data Mining and Applications - 8th International Conference, ADMA 2012, Proceedings |
Publisher | Springer |
Pages | 477-487 |
Number of pages | 11 |
ISBN (Print) | 9783642355264 |
DOIs | |
Publication status | Published - 1 Dec 2012 |
Externally published | Yes |
Event | 8th International Conference on Advanced Data Mining and Applications - Nanjing, China Duration: 15 Dec 2012 → 18 Dec 2012 Conference number: 8th |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 7713 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 8th International Conference on Advanced Data Mining and Applications |
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Abbreviated title | ADMA 2012 |
Country/Territory | China |
City | Nanjing |
Period | 15/12/12 → 18/12/12 |
Keywords
- Edit distance
- Genetic algorithms
- Normalized edit distance
- Sequential data
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)