Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Towards approximate matching in compressed strings: Local subsequence recognition. / Tiskin, Alexander.
Computer Science – Theory and Applications (CSR 2011). 2011. стр. 401-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 6651).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Towards approximate matching in compressed strings: Local subsequence recognition
AU - Tiskin, Alexander
PY - 2011/6/23
Y1 - 2011/6/23
N2 - A grammar-compressed (GC) string is a string generated by a context-free grammar. This compression model includes LZ78 and LZW compression as a special case. We consider the longest common subsequence problem and the local subsequence recognition problem on a GC-text against a plain pattern. We show that, surprisingly, both problems can be solved in time that is within a polylogarithmic factor of the best existing algorithms for the same problems on a plain text. In a wider context presented elsewhere, we use these results as a stepping stone to efficient approximate matching on a GC-text. © 2011 Springer-Verlag Berlin Heidelberg.
AB - A grammar-compressed (GC) string is a string generated by a context-free grammar. This compression model includes LZ78 and LZW compression as a special case. We consider the longest common subsequence problem and the local subsequence recognition problem on a GC-text against a plain pattern. We show that, surprisingly, both problems can be solved in time that is within a polylogarithmic factor of the best existing algorithms for the same problems on a plain text. In a wider context presented elsewhere, we use these results as a stepping stone to efficient approximate matching on a GC-text. © 2011 Springer-Verlag Berlin Heidelberg.
UR - http://www.scopus.com/inward/record.url?scp=79959299019&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-20712-9_32
DO - 10.1007/978-3-642-20712-9_32
M3 - Conference contribution
AN - SCOPUS:79959299019
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 401
EP - 414
BT - Computer Science – Theory and Applications (CSR 2011)
ER -
ID: 127758484