Web Access Research Portal
Research Output Details
Saito, K and Ohara, K and Kimura, M and Motoda, H, “Change point detection for burst analysis from an observed information diffusion sequence of tweets”, Journal of Intelligent Information Systems, 44 (2) pp. 243-269. ISSN 0925-9902 (2015) [Refereed Article] | |
Data Type | Value |
---|---|
Online First | 2013 |
Type of Research | Applied Research |
Research Division | Information and Computing Sciences |
Research Group | Artificial intelligence |
Research Field | Artificial intelligence not elsewhere classified |
Research Objective Division | Information and Communication Services |
Research Objective Group | Information systems, technologies and services |
Research Objective Field | Information systems, technologies and services not elsewhere classified |
Visit Item on eCite | http://ecite.utas.edu.au/88998 |
Digital Object Identifier | doi:10.1007/s10844-013-0283-2 |
Scopus Source URL | View the full record on Scopus |
Scopus Citing URL | View the list of citing articles on Scopus |
Web of Science® Source URL | View the full record on Web of Science® |
Web of Science® Citing URL | View the list of citing articles on Web of Science® |
Web of Science® Related URL | View the list of related articles on Web of Science® |
Number of Times Cited | 6 |