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)
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概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 2004-11-27
著者
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Nguyen Phu
Institute Of Scientific And Industrial Research Osaka University
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WASHIO TAKASHI
Institute of Scientific and Industrial Research, Osaka University
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Motoda Hiroshi
Institute Of Scientific And Industrial Research Osaka University
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Motoda Hiroshi
I.s.i.r. Osaka University
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Motoda Hiroshi
Energy Research Laboratory Hitachi Ltd.
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Washio Takashi
Institute Of Scientific And Industrial Research Osaka University
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Mogi Akira
Institute Of Scientific And Industrial Research Osaka University
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Nguyen P
大阪大 産科研
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