Design of the fast computable similarities for tree-structured data and their extension to several discrete structures
Project/Area Number |
21500145
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
|
Research Institution | Kyushu Institute of Technology |
Principal Investigator |
HIRATA Kouichi 九州工業大学, 大学院・情報工学研究院, 准教授 (20274558)
|
Co-Investigator(Kenkyū-buntansha) |
KUBOYAMA Tetsuji 学習院大学, 計算機センター, 准教授 (80302660)
|
Project Period (FY) |
2009 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2011: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
Keywords | 木構造の類似度 / 木の編集距離 / 順序木 / 無順序木 / 局所頻度距離 / 二分木符号 / 木カーネル / 木包含問題 / 木 / 木の類似度・非類似度 / 編集距離 / 二分木コード / ボトムアップ編集距離 / 系統樹 / エピソード / データマイニング / 有向グラフ |
Research Abstract |
This research introduced a new hierarchy of the tree edit distance and improved both the MAXSNP-hardness of computing the unordered tree edit distance and the time complexity for the tractable variations of it. Also it introduced both the local frequency distance, which runs in linear time, with constant factor lower bound of the ordered tree edit distance and the string edit distance of binary tree codes, which runs in quadratic time, with both the constant factor lower bound and the upper bound. Furthermore, it designed the tree kernel based on them.
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Report
(4 results)
Research Products
(98 results)