Presentation 2004/7/7
Consideration of the clustering threshold in the Research Mining Method
Makoto YOSHIDA, Takashi KOBAYASHI, Haruo YOKOTA,
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Abstract(in English) By progress of the Internet, the number of research papers that can electronically be derived is increasing. However, the cost of searching them for the required information is still high. Therefore, some functions to reduce the cost is required. Our research goal is to provide an advanced retrieval method for the papers. We have proposed the method research mining. To comprehend macro-flow, There are two phases in research mining. To decided clustering threshold, we had tried applying research mining method many times in different clustering threshold. Therefore it had taken much cost in deciding the threshold. Moreover clustering result was not necessarily what is easier to comprehend the research flow. In this paper, we propose the method to decide the threshold which make grasp of the development circumstances of research easy.
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Keyword(in English) Research mining / Paper retrieval / Data mining / Clustering / Information analysis
Paper # DE2004-84
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Committee DE
Conference Date 2004/7/7(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) Consideration of the clustering threshold in the Research Mining Method
Sub Title (in English)
Keyword(1) Research mining
Keyword(2) Paper retrieval
Keyword(3) Data mining
Keyword(4) Clustering
Keyword(5) Information analysis
1st Author's Name Makoto YOSHIDA
1st Author's Affiliation Departrnent of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Takashi KOBAYASHI
2nd Author's Affiliation Global Scientific Information & Computing Center, Tokyo Institute of Technology
3rd Author's Name Haruo YOKOTA
3rd Author's Affiliation Departrnent of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology:Global Scientific Information & Computing Center, Tokyo Institute of Technology
Date 2004/7/7
Paper # DE2004-84
Volume (vol) vol.104
Number (no) 177
Page pp.pp.-
#Pages 6
Date of Issue