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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 345))

Abstract

The subject-specific Bibliometric Analysis on Data Mining complies with the Bradford’s Law to show the 1:n:n 2 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.

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Correspondence to Yu-Ling Won .

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Yang, JM., Tseng, SF., Won, YL. (2016). A Bibliometric Analysis on Data Mining Using Bradford’s Law. In: Juang, J. (eds) Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems (ICITES2014). Lecture Notes in Electrical Engineering, vol 345. Springer, Cham. https://doi.org/10.1007/978-3-319-17314-6_78

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  • DOI: https://doi.org/10.1007/978-3-319-17314-6_78

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17313-9

  • Online ISBN: 978-3-319-17314-6

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