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Author Fredriksson, Kimmo
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Subject Keyword String matching ♦ Compression ♦ Multiple string matching ♦ Text indexing
Abstract We consider single and multiple string matching in small space and optimal average time. Our algorithm is based on the combination of compressed self-indexes and Backward-DAWG-Matching (BDM) algorithm. We consider several implementation techniques having different space/time and implementation complexity trade-offs. The experimental results show that our approach has much smaller space requirements than BDM, while being much faster and easier to implement. We show that some of our techniques can boost the search speed of compressed self-indexes as well, using a small amount of additional space.
ISSN 10846654
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-02-01
Publisher Place New York
e-ISSN 10846654
Journal Journal of Experimental Algorithmics (JEA)
Volume Number 13
Page Count 19
Starting Page 1.8
Ending Page 1.26


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Source: ACM Digital Library