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タイトル: Approximation and parameterized algorithms for common subtrees and edit distance between unordered trees
著者: Akutsu, Tatsuya  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-9763-797X (unconfirmed)
Fukagawa, Daiji
Halldórsson, Magnús M.
Takasu, Atsuhiro
Tanaka, Keisuke
著者名の別形: 阿久津, 達也
キーワード: Tree edit distance
Approximation algorithms
Parameterized algorithms
Dynamic programming
Unordered trees
発行日: Jan-2013
出版者: Elsevier B.V.
誌名: Theoretical Computer Science
巻: 470
開始ページ: 10
終了ページ: 22
抄録: Given two rooted, labeled, unordered trees, the common subtree problem is to find a bijective matching between subsets of nodes of the trees of maximum cardinality which preserves labels and ancestry relationship. The tree edit distance problem is to determine the least cost sequence of insertions, deletions and substitutions that converts a tree into another given tree. Both problems are known to be hard to approximate within some constant factor in general. We tackle these problems from two perspectives: giving exact algorithms, either for special cases or in terms of some parameters; and approximation algorithms and hardness of approximation. We present a parameterized algorithm in terms of the number of branching nodes that solves both problems and yields polynomial algorithms for several special classes of trees. This is complemented with a tighter APX-hardness proof that holds when the trees are of height one and two, respectively. Furthermore, we present the first approximation algorithms for both problems. In particular, for the common subtree problem for t trees, we present an algorithm achieving a tlog2(bOPT+1) ratio, where bOPT is the number of branching nodes in the optimal solution. We also present constant factor approximation algorithms for both problems in the case of bounded height trees.
著作権等: © 2012 Elsevier B.V.
This is not the published version. Please cite only the published version.
この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/169691
DOI(出版社版): 10.1016/j.tcs.2012.11.017
出現コレクション:学術雑誌掲載論文等

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