Presentation 2004/11/28
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)
TAKASHI WASHIO, ATSUSHI FUJIMOTO, HIROSHI MOTODA,
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Abstract(in English) 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.
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Paper # AI2004-39
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Committee AI
Conference Date 2004/11/28(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) 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)
Sub Title (in English)
Keyword(1)
1st Author's Name TAKASHI WASHIO
1st Author's Affiliation ()
2nd Author's Name ATSUSHI FUJIMOTO
2nd Author's Affiliation / Institute of Scientific and Industrial Research, Osaka University
3rd Author's Name HIROSHI MOTODA
3rd Author's Affiliation
Date 2004/11/28
Paper # AI2004-39
Volume (vol) vol.104
Number (no) 486
Page pp.pp.-
#Pages 6
Date of Issue