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Research on the Clustering Method of Agricultural Scientific Data Based on the Author’s Scientific Research Relationship

Abstract : Focusing on semantic parse and bias problems during the clustering process of agricultural scientific data, a clustering method for agricultural scientific data based on author’s scientific research relationship is proposed in this paper. Meanwhile, an assessment algorithm of the scientific research relationship based on co-author ship and authors’ inter-citation is put forward. Finally, the experimental results proved that the proposed clustering method for the agricultural scientific data can effectively improve error classification caused by semantic parse and bias.
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Dingfeng Wu, Liyun Wang, Jian Wang, Hua Zhao, Guomin Zhou. Research on the Clustering Method of Agricultural Scientific Data Based on the Author’s Scientific Research Relationship. 10th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2016, Dongying, China. pp.372-380, ⟨10.1007/978-3-030-06155-5_37⟩. ⟨hal-02179972⟩

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