Analysis of Hepatitis Dataset by Using Cl-GBI(Medical 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 arid 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-CIGBI is an improved version of DT-GBI that uses Cl-GBI instead of B-GBI. Experimental results of DT-ClGBI are shown for hepatitis dataset with some discussion. The work is still in progress.

• 一般社団法人情報処理学会の論文
• 2004-12-04

著者

• Nguyen Phu

  Institute Of Scientific And Industrial Research Osaka University

• WASHIO TAKASHI

  Institute of Scientific and Industrial Research, Osaka University

• MOTODA HIROSHI

  Institute of Scientific and Industrial Research, Osaka University

• Motoda Hiroshi

  Institute Of Scientific And Industrial Research Osaka University

• Motoda Hiroshi

  I.s.i.r. Osaka University

• Motoda Hiroshi

  Energy Research Laboratory Hitachi Ltd.

• Washio Takashi

  Institute Of Scientific And Industrial Research Osaka University

• OHARA KOUZOU

  Institute of Scientific and Industrial Research, Osaka University

• MOGI AKIRA

  Institute of Scientific and Industrial Research, Osaka University

• Mogi Akira

  Institute Of Scientific And Industrial Research Osaka University

• Nguyen P

  大阪大 産科研

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