政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/112481
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    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/112481


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    题名: A bibliometric analysis on data mining using Bradford’s law
    作者: 楊建民
    曾淑峰
    Yang, Jiann Min
    Tseng, Shu Feng
    Won, Yu Ling
    贡献者: 資管系
    关键词: Drops;Academic institutions;Bibliometric analysis;Bradford;Journal articles;Research journals;Subject-specific;Data mining
    日期: 2016
    上传时间: 2017-09-01 10:05:01 (UTC+8)
    摘要: The subject-specific Bibliometric Analysis on Data Mining complies with the Bradford’s Law to show the 1:n:n relationship and the zone distribution of research journals. The overall count of articles in each zone is about the same. The top three author countries contribute to more than 50% of total journal articles. However, big differences in productivity exist among them. Most of the high ranking author organizations are academic institutions and many of them belong to the top three author countries. The total article count grows year by year except a sudden drop in 2007 but grows again in 2008 and afterwards. The top three research areas are quite stable. There are some variations in other research areas. Some drop down the article counts and some others grow gradually.
    關聯: Lecture Notes in Electrical Engineering, 345, 613-620
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.1007/978-3-319-17314-6_78
    DOI: 10.1007/978-3-319-17314-6_78
    显示于类别:[資訊管理學系] 會議論文

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