ExtremeXP

ExtremeXP will provide:

Specification and semantics for modelling complex user-experience-driven analytics.
Automated and scalable data management for complex analytics workflow.
Scenario-driven and opportunistic machine learning to design and develop AutoML mechanisms for performing scenario-based algorithm and model selection considering on-demand user-provided constraints (performance, resources, time, model options).
User-experience- and experiment-driven optimization of complex analytics to design the architecture of the framework for experiment-driven optimisation of complex analytics.
Transparent decision making with interactive visualisation methods to explore how augmented reality, visual analytics, and other visualisation techniques and their combinations can enhance user experience for different use cases, actors, domains, applications, and problem areas
Extreme data access control and knowledge management
Test and validation framework and application on different impactful real-life use cases to incorporate the ExtremeXP tools, methods, models, and software into a scalable, usable, and interoperable integrated framework for complex experiment-driven analytics

Partners

Contact
Dr. Mohamed Selim