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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

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/112481

Title:	A bibliometric analysis on data mining using Bradford’s law
Authors:	楊建民曾淑峰 Yang, Jiann Min Tseng, Shu Feng Won, Yu Ling
Contributors:	資管系
Keywords:	Drops;Academic institutions;Bibliometric analysis;Bradford;Journal articles;Research journals;Subject-specific;Data mining
Date:	2016
Issue Date:	2017-09-01 10:05:01 (UTC+8)
Abstract:	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.
Relation:	Lecture Notes in Electrical Engineering, 345, 613-620
Data Type:	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
Appears in Collections:	[資訊管理學系] 會議論文

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