DocumentCode
2684340
Title
Extraction of Key Papers Based on the PageRank Algorithm Using Variance Values of Cited Literature as Weighting
Author
Otsuki, Akira
Author_Institution
Center for Educ. & Res., Ochanomizu Univ., Tokyo, Japan
fYear
2012
fDate
27-29 Oct. 2012
Firstpage
517
Lastpage
523
Abstract
Even though citation analysis are a recent popular study trend in the field of academic landscape achieving the stage of automated clustering, the reality is that experts manually analyze semantic attachments to identify the type of group for each cluster. Therefore, we attempt to achieve an automated extraction of key literature of each cluster in the report by setting automated interpretation of each cluster as the final purpose of the study.
Keywords
citation analysis; data mining; information retrieval; pattern clustering; text analysis; PageRank algorithm; automated interpretation; automatic clustering; automatic key literature extraction; citation analysis; cited literature; data mining; group type identification; key paper extraction; semantic attachments; variance values; Bibliometrics; Clustering algorithms; Data mining; Databases; Histograms; Standards; Visualization; Big Data; Clustering; Data Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-4873-7
Type
conf
DOI
10.1109/CIT.2012.114
Filename
6391952
Link To Document