| Ohara, K and Saito, K and Kimura, M and Motoda, H, “Predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes”, Proceedings of the Fifth Asian Conference on Machine Learning 2013, 13-15 November 2013, Canberra, Australia, pp. 149-164. ISSN 1532-4435 (2013) [Refereed Conference Paper] |
| Data Type | Value |
|---|
| 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/89001 |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
