Principal Component Analysis Method-Based Research on Agricultural Science and Technology Website Evaluation

Abstract : Agricultural science and technology website is a very important supporter of driving agricultural information and servicing agriculture. An evaluation method is proposed on agricultural science and technology website based on objective data and artificial ratings, using principal component analysis method. Finally the author used the model to evaluate 18 agricultural science and technology websites, and proposed some suggestions on development of agricultural science and technology websites based on the evaluation result which would act as reference to agricultural science and technology website construction.
Type de document :
Communication dans un congrès
9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.369-381, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_37〉
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Soumis le : mardi 10 octobre 2017 - 15:43:54
Dernière modification le : mardi 10 octobre 2017 - 15:53:30
Document(s) archivé(s) le : jeudi 11 janvier 2018 - 14:32:11

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Jian Ma. Principal Component Analysis Method-Based Research on Agricultural Science and Technology Website Evaluation. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.369-381, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_37〉. 〈hal-01614220〉

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