Extention of Basket Analysis and Quantitative Association Rule Mining(Graph Data 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
Basket Analysis is mathematically characterized and extended to search families of sets in this paper. These theories indicates the possibility of various new approaches of data mining. We demonstrate the potential through proposal of a novel approach QARMINT. It performs complete mining of generic QARs within a low time complexity which has not been well addressed in the past work. Its performance evaluation shows high practicality.
- 社団法人電子情報通信学会の論文
- 2004-11-28
著者
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Fujimoto Atsushi
Institute Of Scientific And Industrial Research Osaka University
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Fujimoto A
Dept. Aeronautical Engineering Kyushu University
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MOTODA HIROSHI
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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