Presentation | 1997/12/2 Data Mining Support by Visualizing Association Rules Tetsuya Iizuka, Hiroshi Matsuo, Seiji Isobe, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Data mining has been paid attention as a technique for introducing business success. Up to date, data mining algorithms, such as the association rule, have been enhanced especially for view point of rule generation performance. Rule refinement process which create useful knowledge becomes much more important for knowledge discovery. Roles of rule generation and rule refinement, should be shared with machine and human because of their strong point. To generate candidate rules from large volume of data, machine power is useful. But, perceptual and cognitive capabilities and background knowledge which are strong point of human are indispensable for rule refinement. In this paper, we propose a visual data mining support system for rule refinement through co-operation with machine and human abilities. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data mining / Visualization / Association Rules / Refinement of Knowledge |
Paper # | AI97-35 |
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Conference Information | |
Committee | AI |
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Conference Date | 1997/12/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Data Mining Support by Visualizing Association Rules |
Sub Title (in English) | |
Keyword(1) | Data mining |
Keyword(2) | Visualization |
Keyword(3) | Association Rules |
Keyword(4) | Refinement of Knowledge |
1st Author's Name | Tetsuya Iizuka |
1st Author's Affiliation | NTT Information and Communication System Labs.() |
2nd Author's Name | Hiroshi Matsuo |
2nd Author's Affiliation | NTT Information and Communication System Labs. |
3rd Author's Name | Seiji Isobe |
3rd Author's Affiliation | NTT Information and Communication System Labs. |
Date | 1997/12/2 |
Paper # | AI97-35 |
Volume (vol) | vol.97 |
Number (no) | 415 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |