Abstract | ||
---|---|---|
The swap matching problem consists if finding a pattern in a text, while allowing for transpositions in the pattern. A new approach using a graph-theoretic model was presented in [6] by Iliopoulos et al. In this paper we present a useful application for this algorithm and provide an analysis of its running time with a naive approach through implementation. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1007/978-3-540-70600-7_34 | BIOINFORMATICS RESEARCH AND DEVELOPMENT, PROCEEDINGS |
Field | DocType | Volume |
Graph,Computer science,Theoretical computer science,Cooley–Tukey FFT algorithm,Artificial intelligence,Swap (finance),Pattern matching,Blossom algorithm,Machine learning | Conference | 13 |
ISSN | Citations | PageRank |
1865-0929 | 5 | 0.57 |
References | Authors | |
6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pavlos Antoniou | 1 | 353 | 17.04 |
Costas S. Iliopoulos | 2 | 1534 | 167.43 |
Inuka Jayasekera | 3 | 11 | 1.70 |
M. Sohel Rahman | 4 | 488 | 56.99 |