Tamanna Chhabra, Sukhpal Singh Ghuman and Jorma Tarhio
Tuning Algorithms for Jumbled Matching
Abstract: |
We consider the problem of jumbled matching where the objective is to find all permuted occurrences of a pattern in a text. Besides exact matching we study approximate matching where each occurrence is allowed to contain at most k wrong or superfluous characters. We present online algorithms applying bit-parallelism to both types of jumbled matching. Most of our algorithms are variations of earlier algorithms. We show by practical experiments that our algorithms are competitive with the previous solutions. |
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