Presentation 1999/11/19
Knowledge Discovery from Tree Structured Data
Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuji Kuboyama, Kenichi Takahashi, Hiroaki Ueda,
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Abstract(in English) We present a method for discovering knowledge from graph structured data, especially tree structured data. A term tree is a data structure which represents a pattern consisting of variables and tree-like structures. A term tree is more powerful than the standard representation of a first order term. In order to realize an efficient knowledge discovery system from tree structured data, we have given a polynomial time algorithm for deciding whether a term tree and a tree are matched or not. We have implemented the matching algorithm. Experimental results show that the matching algorithm is efficient and useful in knowledge discovery from tree structured data Also we discuss an application of the algorithm to a knowledge discovery system.
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Keyword(in English) knowledge discovery / graph structured data / tree structured data / matching algorithm
Paper # AI99-65
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Conference Information
Committee AI
Conference Date 1999/11/19(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Knowledge Discovery from Tree Structured Data
Sub Title (in English)
Keyword(1) knowledge discovery
Keyword(2) graph structured data
Keyword(3) tree structured data
Keyword(4) matching algorithm
1st Author's Name Tetsuhiro Miyahara
1st Author's Affiliation Faculty of Information Sciences, Hiroshima City University()
2nd Author's Name Takayoshi Shoudai
2nd Author's Affiliation Department of Informatics, Kyushu University
3rd Author's Name Tomoyuki Uchida
3rd Author's Affiliation Faculty of Information Sciences, Hiroshima City University
4th Author's Name Tetsuji Kuboyama
4th Author's Affiliation Center for Collaborative Research, University of Tokyo
5th Author's Name Kenichi Takahashi
5th Author's Affiliation Faculty of Information Sciences, Hiroshima City University
6th Author's Name Hiroaki Ueda
6th Author's Affiliation Faculty of Information Sciences, Hiroshima City University
Date 1999/11/19
Paper # AI99-65
Volume (vol) vol.99
Number (no) 447
Page pp.pp.-
#Pages 6
Date of Issue