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Vol.27 No.3
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A Study on Automatic Database Selection Technique Using the Maximal Concept Strength Recognition Method

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2010, v.27 no.3, pp.265-281
https://doi.org/10.3743/KOSIM.2010.27.3.265

(2010). A Study on Automatic Database Selection Technique Using the Maximal Concept Strength Recognition Method. Journal of the Korean Society for Information Management, 27(3), 265-281, https://doi.org/10.3743/KOSIM.2010.27.3.265
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Abstract

The proposed method in this study is the Maximal Concept-Strength Recognition Method(MCR). In case that we don't know which database is the most suitable for automatic-classification when new database is imported, MCR method can support to select the most similar database among many databases in the legacy system. For experiments, we constructed four heterogeneous scholarly databases and measured the best performance with MCR method. In result, we retrieved the exact database expected and the precision value of MCR based automatic-classification was close to the best performance.

keywords
automatic classification, automatic categorization, maximal concept-strength recognition, automatic database selection, text mining, automatic classification, automatic categorization, maximal concept-strength recognition, automatic database selection, text mining, 자동분류, 자동범주화, 최대 개념강도 인지기법, 자동 데이터베이스 선택, 텍스트마이닝

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