Presentation 2000/7/21
Proposal and Evaluation of Information Visualization on Bibliographic Navigation System
Ken Nomura, Hiroyuki Kawano, Minoru Kawahara,
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Abstract(in English) In order to retrieve a huge volume of semi-structured data like SGML efficiently, we develop Java applets for our information navigation system, Mondou. The applet visualizes ROC graph and document clusters. The ROC graph shows the relationship between a query and associative keywords derived by mining algorithm. On the other hand, the interface of document clustering is based on the extension of the VIBE system, and it presents the combination of retrieved keywords efficiently. Moreover, we evaluate the performance of our navigation system using INSPEC database.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) ROC graph / information search / data mining / visualization / document clustering / association rule
Paper # DE2000-75
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Conference Information
Committee DE
Conference Date 2000/7/21(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) Proposal and Evaluation of Information Visualization on Bibliographic Navigation System
Sub Title (in English)
Keyword(1) ROC graph
Keyword(2) information search
Keyword(3) data mining
Keyword(4) visualization
Keyword(5) document clustering
Keyword(6) association rule
1st Author's Name Ken Nomura
1st Author's Affiliation Department of Systems Science Kyoto University()
2nd Author's Name Hiroyuki Kawano
2nd Author's Affiliation Department of Systems Science Kyoto University
3rd Author's Name Minoru Kawahara
3rd Author's Affiliation Data Processing Center Kyoto University
Date 2000/7/21
Paper # DE2000-75
Volume (vol) vol.100
Number (no) 228
Page pp.pp.-
#Pages 8
Date of Issue