All Outputs (2)

Mining the crime survey to support crime profiling (2016)
Presentation / Conference
Wu, J., Meziane, F., Saraee, M., Aspin, R., & Hope, T. (2016, October). Mining the crime survey to support crime profiling. Presented at 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), Reggio Calabria, Italy

Crime surveys are conducted to record crimes by the Office for National Statistics (ONS) in the United Kingdom every year. They contain rich information about crime. They record the crimes that are not reported to the police. However, their exploitat... Read More about Mining the crime survey to support crime profiling.

Semantic aware Bayesian network model for actionable knowledge discovery in linked data (2016)
Presentation / Conference
Alharbi, H., & Saraee, M. (2016, July). Semantic aware Bayesian network model for actionable knowledge discovery in linked data. Presented at 12th International Conference, MLDM 2016, New York, NY, USA

The majority of the conventional mining algorithms treat the mining process as an isolated data-driven procedure and overlook the semantic of the targeted data. As a result, the generated patterns are abundant and end users cannot act upon them seaml... Read More about Semantic aware Bayesian network model for actionable knowledge discovery in linked data.