TY - JOUR
T1 - A practical algorithm to find the best subsequence patterns
AU - Hirao, Masahiro
AU - Hoshino, Hiromasa
AU - Shinohara, Ayumi
AU - Takeda, Masayuki
AU - Arikawa, Setsuo
PY - 2003/1/27
Y1 - 2003/1/27
N2 - Given two sets of strings, consider the problem to find a subsequence that is common to one set but never appears in the other set. We regard it to find a subsequence pattern which separates these two sets. The problem is known to be NP-complete. We naturally generalize it to an optimization problem, where we try to find a subsequence pattern which maximally separates these two sets. We provide a practical algorithm to solve it exactly. Our algorithm uses two pruning heuristics based on the properties of subsequence languages, and utilizes the data structure called subsequence automata. We report some experimental results, which show these heuristics and the data structure contribute to reduce the search time.
AB - Given two sets of strings, consider the problem to find a subsequence that is common to one set but never appears in the other set. We regard it to find a subsequence pattern which separates these two sets. The problem is known to be NP-complete. We naturally generalize it to an optimization problem, where we try to find a subsequence pattern which maximally separates these two sets. We provide a practical algorithm to solve it exactly. Our algorithm uses two pruning heuristics based on the properties of subsequence languages, and utilizes the data structure called subsequence automata. We report some experimental results, which show these heuristics and the data structure contribute to reduce the search time.
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U2 - 10.1016/S0304-3975(02)00182-2
DO - 10.1016/S0304-3975(02)00182-2
M3 - Article
AN - SCOPUS:0037467657
SN - 0304-3975
VL - 292
SP - 465
EP - 479
JO - Theoretical Computer Science
JF - Theoretical Computer Science
IS - 2
ER -