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Grounded Theory-Driven Knowledge Production Features Mining: One Empirical Study Based on Big Data Technology.

H. Xu, Y. Li, M. Wang, Y. Peng, Q. Chen, P. Liu, и Y. Li. ICBDS, том 1796 из Communications in Computer and Information Science, стр. 493-511. Springer, (2022)

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Yufang Zhou

Yufang Dan

Xiao-Wei Peng

Changgeng Peng

Martin Peng

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Gaps within the Biomedical Literature: Initial Characterization and Assessment of Strategies for Discovery.Y. Peng, G. Bonifield, и N. Smalheiser. Frontiers Res. Metrics Anal., (2017)Logical Relationship Extraction of Multimodal South China Sea Big Data Using BERT and Knowledge Graph.Y. Peng, H. Xu, W. Jin, и H. Yang. ICBDS, том 1796 из Communications in Computer and Information Science, стр. 219-233. Springer, (2022)Mining the Potential Collaborative Relationships Based on the Author Keyword Coupling Analysis and Social Network Analysis.Y. Peng, D. Gu, и J. Shi. CLBib@ISSI, том 2004 из CEUR Workshop Proceedings, стр. 28-41. CEUR-WS.org, (2017)Spillover effect and Granger causality investigation between China's stock market and international oil market: A dynamic multiscale approach.Y. Peng, W. Chen, P. Wei, и G. Yu. J. Comput. Appl. Math., (2020)Grounded Theory-Driven Knowledge Production Features Mining: One Empirical Study Based on Big Data Technology.H. Xu, Y. Li, M. Wang, Y. Peng, Q. Chen, P. Liu, и Y. Li. ICBDS, том 1796 из Communications in Computer and Information Science, стр. 493-511. Springer, (2022)

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