: In many application areas like e-science and data-warehousing detailed information about the origin of data is required. This kind of information is often referred to as data pro...
Abstract. In heterogeneous data warehousing environments, autonomous data sources are integrated into a materialised integrated database. The schemas of the data sources and the in...
Abstract. The validation of models for skills assessment is often conducted by using simulated students because their skills mastery can be predefined. Student performance data is ...
Among the many methods for modeling cortical interactions using EEG and MEG data, Multivariate Autoregressive(MVAR) functional connectivity measures have the advantage of providin...
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...