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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 2004/11/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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) |
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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 |
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Date | 2004/11/28 |
Paper # | AI2004-39 |
Volume (vol) | vol.104 |
Number (no) | 486 |
Page | pp.pp.- |
#Pages | 6 |
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