Robotics and AI

Data mining with big data

Big data concern large-volume, complex, growing info sets with multiple, autonomous sources. With the fast development of networking, info storage, and also the data assortment capability, large info are currently quickly increasing altogether science and engineering domains, as well as physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the alternatives of the huge knowledge revolution, and proposes an enormous processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modelling, and security and privacy issues. We analyse the challenging problems within the data-driven model and also in the massive data revolution.