Presentation 2004/11/27
Analysis of Hepatitis Dataset by Using Cl-GBI(Medical Active Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
AKIRA MOGI, PHU CHIEN NGUYEN, KOUZOU OHARA, HIROSHI MOTODA, TAKASHI WASHIO,
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Abstract(in English) Constructing a classifier for structured data for which the attribute value type data representation is not straightforward is challenging. Graph is one such structured data and we developed DT-GBI in which B-GBI, a graph mining program, is recursively called to construct attributes in the form of subgraphs. B-GBI, although quite efficient, has some problem due to non backtracking greedy strategy with pairwise chunking. Overlapping subgraphs can't be searched and frequency counting of the same subgraph in a single graph has some ambiguity. Cl-GBI, recently proposed new approach that uses chunkingless chunks as pseud-nodes, solves this problem at the expense of computation cost. DT-C1GBI is an improved version of DT-GBI that uses Cl-GBI instead of B-GBI. Experimental results of DT-C1GBI are shown for hepatitis dataset with some discussion. The work is still in-progress.
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Paper # AI2004-26
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Committee AI
Conference Date 2004/11/27(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Analysis of Hepatitis Dataset by Using Cl-GBI(Medical Active Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
Sub Title (in English)
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1st Author's Name AKIRA MOGI
1st Author's Affiliation ()
2nd Author's Name PHU CHIEN NGUYEN
2nd Author's Affiliation /
3rd Author's Name KOUZOU OHARA
3rd Author's Affiliation / Institute of Scientific and Industrial Research
4th Author's Name HIROSHI MOTODA
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5th Author's Name TAKASHI WASHIO
5th Author's Affiliation
Date 2004/11/27
Paper # AI2004-26
Volume (vol) vol.104
Number (no) 485
Page pp.pp.-
#Pages 6
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