Efficient Parameterized Matching Using Burrows-Wheeler Transform

Efficient Parameterized Matching Using Burrows-Wheeler Transform

Anjali Goel1, Rajesh Prasad2, Suneeta Agarwal3, and Amit Sangal4

1Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, India

2Department of Computer Science and Engineering, Yobe State University, Nigeria

3Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, India

4Department of Computer Science and Engineering, Sunder Deep Engineering College, India

Abstract: Two strings P[1, ..., m] and T[1, ..., n] with m≤n, are said to be parameterized match, if one can be transformed into the other via some bijective mapping. It is used in software maintenance, plagiarism detection and detecting isomorphism in a graph. In recent year, Directed Acyclic Word Graph (DAWG). Backward DAWG Matching (BDM) algorithm for exact string matching has been combined with compressed indexing technique: Burrows Wheeler Transform (BWT), to achieve less search time and small space. In this paper, we develop a new efficient Parameterized Burrows Wheeler Transform (PBWT) matching algorithm using the concept of BWT indexing technique. The proposed algorithm requires less space as compared to existing parameterized suffix tree based algorithm.

Keywords: Suffix array, burrow-wheeler transform, backward DAWG matching and parameterized matching.

Received January 9, 2014; accepted December 23, 2014 

  
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