Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/113055
題名: | A bibliometric analysis on data mining and big data | 作者: | 曾淑峰 楊建民 Tseng, Shu Feng Won, Yu Ling Yang, Jiann Min |
貢獻者: | 資管系 | 日期: | 2016 | 上傳時間: | 15-Sep-2017 | 摘要: | Along with more and faster accumulation of electronic business data, Data Mining and the newer Big Data issues are attracting more attention. This paper reports the literature analysis based on the publication journals and articles in the research databases. The ranking comparisons of top 10 article counts in 2014 on Data Mining and Big Data show that there are 9 in common in the top 10 author countries but only 2 in common in the top 10 author organisations. There are 6 in common in the top 10 research areas but only 2 in common in the top 10 journal names. However, near 1/3 authors contributing to the Big Data literature come from the pool of authors who have publications in the Data Mining subject. Hopefully, their Big Data research in the value dimension may link better to the Data Mining knowledge and methodologies. | 關聯: | International Journal of Electronic Business, 13(1), 38-69 | 資料類型: | article | DOI: | http://dx.doi.org/10.1504/IJEB.2016.075333 |
Appears in Collections: | 期刊論文 |
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