Presentation 1995/5/26
A Visualization Method for Association Rules
Takeshi Fukuda, Shin'ichi Morishita,
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Abstract(in English) Recent spread of point-of-sales system makes it possible for retail industries to collect and store massive amounts of sales data. To manage effective market strategies, data mining technology is getting important which discover association rules between items and attributes in the sales data. Though fast algorithms for discovering association rules have been proposed, discovered association rules get often too many and too primitive to understand as a whole. To overcome this trouble, we propose a method of visualizing association rules to provide the user with a bird's-eye picture of the whole rules. Furthermore, we studies applying statistical tests to association rules so that we can distinguish significant rules from insignificant ones. Hiding "uninteresting" rule is helpful for reducing the graphical complexity.
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Keyword(in English) data mining / visualization / association rules / statistical tests
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Committee DE
Conference Date 1995/5/26(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Visualization Method for Association Rules
Sub Title (in English)
Keyword(1) data mining
Keyword(2) visualization
Keyword(3) association rules
Keyword(4) statistical tests
1st Author's Name Takeshi Fukuda
1st Author's Affiliation Tokyo Research Laboratory, IBM Japan Ltd.()
2nd Author's Name Shin'ichi Morishita
2nd Author's Affiliation Tokyo Research Laboratory, IBM Japan Ltd.
Date 1995/5/26
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Volume (vol) vol.95
Number (no) 81
Page pp.pp.-
#Pages 8
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