Performance Evaluation of Similarity Search Module and Application for Cell Simulator(Scientific Data Mining)
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概要
- 論文の詳細を見る
We develop a similarity search module which performs K-nearest search and range query search in large time series databases. To deal with the high dimensionality of time series data, we apply the techniques such as Adaptive Piecewise Constant Approximation (APCA), multi-dimensional index structure (Hybrid-tree) and approximate distance function to our module. In this paper, we evaluate the performance of the module by using the action potential data of a cardiac cell, which is produced by simBio cell simulator. Experimental results show that the module has high performance and applicability.
- 一般社団法人情報処理学会の論文
- 2004-12-04
著者
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KAWANO Hiroyuki
Department of Ophthalmology, Juntendo University School of Medicine
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Hido Shohei
Department Of Systems Science Kyoto University
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Kawano Hiroyuki
Department Of Information And Telecommunication Engineering Nanzan University
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Kawano Hiroyuki
Department Of Applied Chemistry Faculty Of Engineering Oita University
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- Performance Evaluation of Similarity Search Module and Application for Cell Simulator(Scientific Data Mining)
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