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Study on the Theory and Practice of Data Visualization Read chapter Read first chapter

2019 | OriginalPaper | Chapter

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

Authors : Dingfeng Wu, Liyun Wang, Jian Wang, Hua Zhao, Guomin Zhou

Published in: Computer and Computing Technologies in Agriculture X

Publisher: Springer International Publishing

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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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previous chapter Research on Virtual Simulation of Flood Propagation in Agricultural Area Under the Land Subsidence
next chapter Evaluating E-Service Quality of Agricultural Business Websites in China: E-S-QUAL Model Approach
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Metadata
Title
Research on the Clustering Method of Agricultural Scientific Data Based on the Author’s Scientific Research Relationship
Authors
Dingfeng Wu
Liyun Wang
Jian Wang
Hua Zhao
Guomin Zhou
Copyright Year
2019
Book
Computer and Computing Technologies in Agriculture X

Print ISBN: 978-3-030-06154-8

Electronic ISBN: 978-3-030-06155-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-06155-5_37

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