Presentation	1998/10/14 Attribute Selection Method for Visualization with Association Rules Tetsuya Iizuka, Seiji Isobe,
PDF Download Page	PDF download Page Link
Abstract(in Japanese)	(See Japanese page)
Abstract(in English)	Data mining has been paid attention as a technique for introducing business success. However the interpretation of mining results seems to be difficult. Then we have been studied a visual data mining support system applied visualization technique. Up to now, we have examined a automatic attributes selection mechanism utilizing the decision tree, the correlation coefficient matrix, and the categorization technique to source data. These techniques extract attributes for visualization based on the relations among attributes. In this paper, we propose a new automatic target attributes selection method for visualization based on the relations between attribute values by applying association rules.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Data mining / Visualization / Association Rules
Paper #	DE98-14
Date of Issue

Conference Information
Committee	DE
Conference Date	1998/10/14(1days)
Place (in Japanese)	(See Japanese page)
Place (in English)
Topics (in Japanese)	(See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To	Data Engineering (DE)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Attribute Selection Method for Visualization with Association Rules
Sub Title (in English)
Keyword(1)	Data mining
Keyword(2)	Visualization
Keyword(3)	Association Rules
1st Author's Name	Tetsuya Iizuka
1st Author's Affiliation	NTT Information and Communication System Labs.()
2nd Author's Name	Seiji Isobe
2nd Author's Affiliation	NTT Information and Communication System Labs.
Date	1998/10/14
Paper #	DE98-14
Volume (vol)	vol.98
Number (no)	316
Page	pp.pp.-
#Pages	9
Date of Issue