An ensemble-based collaborative framework to support customized user needs

Collaborative platforms with advanced and customized visualization capabilities are getting growing interest regarding IT systems. We describe a system having novel capabilities for fusing the stored data to increase the accuracy of the decision derived from the system. We also present a visualization tool used for interpreting the content and details on decision in a way that is the most suitable for the user. Based on the experience we gained during developing the specific system, we explain how it could be extended to serve aims that are more general. These aims cover other application fields, like advanced visualization and user interaction, data privacy for wider collaboration, user-controlled automated application generation, and robust navigation of the system. Moreover, since our approach highly relies on the combination of different user input to increase accuracy, we discuss on the computational environments that should be considered, and also possible collaborative framework solutions.