| Ali, M and Ali, R and Khan, WA and Han, SC and Bang, J and Hur, T and Kim, D and Lee, S and Kang, BH, “A data-driven knowledge acquisition system: an end-to-end knowledge engineering process for generating production rules”, IEEE Access, 6 pp. 15587-15607. ISSN 2169-3536 (2018) [Refereed Article] |
| 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 | Information systems, technologies and services not elsewhere classified |
| Visit Item on eCite | http://ecite.utas.edu.au/125191 |
| Digital Object Identifier | doi:10.1109/ACCESS.2018.2817022 |
| 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 | 18 |
| Number of Downloads | 145 |
