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Filtering Based Multiple String Matching Algorithm Combining q-Grams and BNDM

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3 Author(s)
Changsheng Miao ; Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Guiran Chang ; Xingwei Wang

We present a new algorithm for exact multiple string matching. Our algorithm is based on filtration combining BNDM and q-grams. We have tested it with experiments and compared it with other algorithms, e.g. DFA, AC_BM and MWM. The preprocessing phase of our algorithms is fast, the memory usage is fairly small, and our algorithm is considerably faster for huge sets of several thousand patterns. The benefits are due to the bit parallelism of BNDM and the improved filtering efficiency by q-grams.

Published in:

Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on

Date of Conference:

13-15 Dec. 2010

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