Presentation 2005-09-16
Realization of Retrieval Systems for Clusters by using Hierarchical Rule Generations based on the Genetic Programming
Jianjun LU, Yoshinori KISHIKAWA, Shozo TOKINAGA,
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Abstract(in English) This report deals with the realization of retrieval systems for clusters by using hierarchical rule generations based on the Genetic Programming (GP). At first, whole data is divided into several clusters and the rules are improved based the GP by introducing two indicators (commonality and cardinality) so that retrieval system extract only targeted cluster. A group of numerical data is also categorized based on the GP method in a similar way. The method is applied to personal loan assessment problems and the evaluation of firms using financial ratios.
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Keyword(in English) Retrieval of clusters / Genetic Programming / Rule generation / Categorization of numerical data
Paper # CAS2005-48,NLP2005-61
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Committee NLP
Conference Date 2005/9/9(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Realization of Retrieval Systems for Clusters by using Hierarchical Rule Generations based on the Genetic Programming
Sub Title (in English)
Keyword(1) Retrieval of clusters
Keyword(2) Genetic Programming
Keyword(3) Rule generation
Keyword(4) Categorization of numerical data
1st Author's Name Jianjun LU
1st Author's Affiliation Graduate School of Economics, Kyushu University()
2nd Author's Name Yoshinori KISHIKAWA
2nd Author's Affiliation Faculty of System Science and Technology, Akita Prefectural University
3rd Author's Name Shozo TOKINAGA
3rd Author's Affiliation Graduate School of Economics, Kyushu University
Date 2005-09-16
Paper # CAS2005-48,NLP2005-61
Volume (vol) vol.105
Number (no) 277
Page pp.pp.-
#Pages 6
Date of Issue