| dc.contributor | 資管系 | |
| dc.creator (作者) | 楊建民 | zh_TW |
| dc.creator (作者) | 曾淑峰 | zh_TW |
| dc.creator (作者) | Yang, Jiann Min | en_US |
| dc.creator (作者) | Tseng, Shu Feng | en_US |
| dc.creator (作者) | Won, Yu Ling | en_US |
| dc.date (日期) | 2016 | |
| dc.date.accessioned | 1-Sep-2017 10:05:01 (UTC+8) | - |
| dc.date.available | 1-Sep-2017 10:05:01 (UTC+8) | - |
| dc.date.issued (上傳時間) | 1-Sep-2017 10:05:01 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/112481 | - |
| dc.description.abstract (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. | |
| dc.format.extent | 22877639 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Lecture Notes in Electrical Engineering, 345, 613-620 | en_US |
| dc.subject (關鍵詞) | Drops; Academic institutions; Bibliometric analysis; Bradford; Journal articles; Research journals; Subject-specific; Data mining | |
| dc.title (題名) | A bibliometric analysis on data mining using Bradford’s law | en_US |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.1007/978-3-319-17314-6_78 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/978-3-319-17314-6_78 | |
