Interdisciplinarity Measurement Method of Scientific Research Papers based on Adaptive Feature Selection
[Purpose/Significance] Interdisciplinary research can creatively solve complex problems in natural environment and human society through knowledge integration and penetration. With the increase of interdisciplinary research results, the evaluation of interdisciplinarity becomes increasingly necessar...
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Veröffentlicht in: | Nongye tushu qingbao xuekan 2023-03, Vol.35 (3), p.52-70 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | chi |
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Online-Zugang: | Volltext |
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Zusammenfassung: | [Purpose/Significance] Interdisciplinary research can creatively solve complex problems in natural environment and human society through knowledge integration and penetration. With the increase of interdisciplinary research results, the evaluation of interdisciplinarity becomes increasingly necessary. How to establish an effective method for interdisciplinarity measurement and achieve a comprehensive measurement of scientific research papers is an urgent problem to be solved. [Method/Process] Based on the above background, this study takes the data of scientific research papers as the analysis source, deconstructs the interdisciplinarity of scientific research papers from multiple dimensions, constructs the feature set of interdisciplinarity of scientific research papers, and on this basis proposes the method for measuring interdisciplinarity based on the adaptive method of machine learning, and conducts a comprehensive measurement of interdisciplinarity. This study has certain positive significance for resea |
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ISSN: | 1002-1248 |
DOI: | 10.13998/j.cnki.issn1002-1248.23-0214 |