Presentation 1997/12/3
Implementation of Bibliographic Navigation System with Association Rules
Minoru Kawahara, Hiroyuki Kawano,
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Abstract(in English) It is generally difficult for naive users to retrieve appropriate bibliographies from bibliographic databases, even if they have background and domain knowledge. One of the reason of the difficulty is that value of the attribute is not limited in certain values. In this paper, we describe about an implementation of our bibliographic navigation system with the mining association algorithm which was extended from one of the data mining algorithms by us. In order to provide more helpful knowledge, we categorize the attributes and extend the mining association algorithms which discover relevance to a keywords space. By our algorithms, interesting rules are derived from relationships between several categorized attributes in a database. We also verify the performance of our proposed algorithms on our practical bibliographic navigation system.
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Keyword(in English) bibliographic search / data mining / association rule / attribute / implementation
Paper # AI97-48
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Committee AI
Conference Date 1997/12/3(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Implementation of Bibliographic Navigation System with Association Rules
Sub Title (in English)
Keyword(1) bibliographic search
Keyword(2) data mining
Keyword(3) association rule
Keyword(4) attribute
Keyword(5) implementation
1st Author's Name Minoru Kawahara
1st Author's Affiliation Data Processing Center, Kyoto University()
2nd Author's Name Hiroyuki Kawano
2nd Author's Affiliation Department of Applied Systems Science, Kyoto University
Date 1997/12/3
Paper # AI97-48
Volume (vol) vol.97
Number (no) 416
Page pp.pp.-
#Pages 6
Date of Issue