| dc.contributor.author | Panagiotou, A | en |
| dc.contributor.author | Ghita, BV | en |
| dc.contributor.author | Shiaeles, S | en |
| dc.contributor.author | Bendiab, K | en |
| dc.date.accessioned | 2022-11-07T12:09:12Z | |
| dc.date.available | 2022-11-07T12:09:12Z | |
| dc.date.issued | 2019 | en |
| dc.identifier.uri | http://hdl.handle.net/10026.1/19885 | |
| dc.language.iso | en | en |
| dc.title | A machine-learning approach to Detect users' suspicious behaviour through the Facebook wall. | en |
| plymouth.organisational-group | /Plymouth | |
| plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
| plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
| plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
| plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics | |
| plymouth.organisational-group | /Plymouth/Users by role | |
| plymouth.organisational-group | /Plymouth/Users by role/Academics | |
| dc.rights.embargoperiod | Not known | en |
| rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | en |
