The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
Protecting users in the ubiquitous online world is becoming more and more important, as shown by web application security – or the lack thereof – making the mainstream news. On...
Philippe De Ryck, Lieven Desmet, Thomas Heyman, Fr...
We consider the problem of deep web source selection and argue that existing source selection methods are inadequate as they are based on local similarity assessment. Specificall...
Organizations invest in the development of knowledge repositories (KR) to foster knowledge reuse and integration. Yet many KR initiatives fail to meet expectations, in part becaus...