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Recommender systems apply data mining techniques and prediction algorithms to predict users' interest on information , products and services among the tremendous amount of available items. The vast growth of information on the In-ternet as well as number of visitors to websites add some key challenges to recommender systems. These are: producing accurate(More)
Measuring the mean time-to-compromise provides important insights for understanding a network's weaknesses and for guiding corresponding defense approaches. Most existing network security metrics only deal with the threats of known vulnerabilities and cannot handle zero day attacks with consistent semantics. In this paper, we propose a unified framework for(More)
The purpose of this document is to provide technical specifications concerned to the Design of the University Unified Inventory System - Web Portal, of the UIfA. The Team of Developers used a Feedback Waterfall approach to build up the system, under an Object Oriented paradigm. The architectural model followed was the Model-View-Controller, mixed with a(More)
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