| Barati, M and Bai, Q and Liu, Q, “An entropy-based class assignment detection approach for RDF data”, Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence. Part II. Lecture Notes in Computer Science, volume 11013, 28-31 August 2018, Nanjing, China, pp. 412-420. ISBN 9783319973098 (2018) [Refereed Conference Paper] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Information and Computing Sciences |
| Research Group | Computer vision and multimedia computation |
| Research Field | Pattern recognition |
| Research Objective Division | Information and Communication Services |
| Research Objective Group | Information systems, technologies and services |
| Research Objective Field | Application software packages |
| Visit Item on eCite | http://ecite.utas.edu.au/140679 |
| Digital Object Identifier | doi:10.1007/978-3-319-97310-4_47 |
| 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 | 2 |
| Number of Downloads | 17 |
