| Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, “Multiple seeds based evolutionary algorithm for mining Boolean association rules”, Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining Workshops (PAKDD 2016), 19 April 2016, Auckland, New Zealand, pp. 61-72. ISBN 9783319429953 (2016) [Refereed Conference Paper] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Information and Computing Sciences |
| Research Group | Machine learning |
| Research Field | Neural networks |
| 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/110175 |
| Digital Object Identifier | doi:10.1007/978-3-319-42996-0_6 |
| 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® Related URL | View the list of related articles on Web of Science® |
