A fast approach to identify trending articles in hot topics from XML based big bibliographic datasets
Crossref DOI link: https://doi.org/10.1007/s10586-016-0561-1
Published Online: 2016-03-31
Published Print: 2016-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Swaraj, K. P. http://orcid.org/0000-0002-5907-5504
Manjula, D.
Funding for this research was provided by:
AICTE QIP
Text and Data Mining valid from 2016-03-31