DocumentCode
3025871
Title
Using the Bibliometric Analysis to Evaluate Global Scientific Production of Data Mining Papers
Author
Deng, Shuang ; Tian, Yangge ; Zhang, Hao
Author_Institution
Int. Sch. of Software, Wuhan Univ., Wuhan, China
fYear
2009
fDate
25-26 April 2009
Firstpage
233
Lastpage
238
Abstract
A bibliometric analysis was applied in this work to evaluate global scientific production of data mining papers of the science citation index (SCI), which was compiled by Institute for Scientific Information (ISI), Philadelphia, USA. The published output analysis showed that data mining research steadily increased over the past 20 years and the annual paper production in 2007 was about three times that in 1999. The analytical results eventually lead to several key findings. Several author keywords became the focus in the last few years, and might be a new research direction in the future. There are clear distinctions among author keywords used in publications from the five most productive countries (USA, China, Germany, England and Canada) in data mining research. Bibliometric methods could quantitatively characterize the development of global scientific production in a specific research field.
Keywords
data mining; information analysis; bibliometric analysis; data mining; global scientific production; published output analysis; science citation index; Bibliometrics; Citation analysis; Data analysis; Data mining; Databases; Indexes; Information analysis; Intersymbol interference; Paper technology; Production; bibliometric analysis; data mining; the Science Citation Index (SCI);
fLanguage
English
Publisher
ieee
Conference_Titel
Database Technology and Applications, 2009 First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3604-0
Type
conf
DOI
10.1109/DBTA.2009.157
Filename
5207773
Link To Document