Presentation 1997/12/3
Association Rule Filter Based on AIC
Kazunori MATSUMOTO, Kazuo HASHIMOTO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The method to filter out irrelevant association rules is proposed. The proposed method based on AIC verifies (1) dependency between the body and the head in a target rule, and (2) dependency between additional part in the body and the head in a target rule. We applied the proposed filterling method for a huge amount of data generated by a simulator. All irrelevant rules can be filtered out in our examination.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Data Mining / Association Rules / Akaike Information Criteria
Paper # DE97-78
Date of Issue

Conference Information
Committee DE
Conference Date 1997/12/3(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) Association Rule Filter Based on AIC
Sub Title (in English)
Keyword(1) Data Mining
Keyword(2) Association Rules
Keyword(3) Akaike Information Criteria
1st Author's Name Kazunori MATSUMOTO
1st Author's Affiliation KDD Research and Development Laboratories()
2nd Author's Name Kazuo HASHIMOTO
2nd Author's Affiliation KDD Research and Development Laboratories
Date 1997/12/3
Paper # DE97-78
Volume (vol) vol.97
Number (no) 418
Page pp.pp.-
#Pages 6
Date of Issue