Advances in information infrastructures have enabled us to collect and process massive amounts of data from multiple sources but under operational time constraints. These so-called big data have become a major driving force of new waves of productivity growth, application innovation, and consumer surplus. The big data are usually immense, fine-grained, diversified, dynamic, and sufficiently information-rich in nature, and thus demands a radical change in the philosophy of the organization of information processing. In this talk, we introduce some emerging big data applications and discuss the requirements of big data analytics. In particularly, it is especially important to investigate how the underlying computational models can be adapted for managing the uncertainties in relation to big data processin a huge nebulous environment.
The Requirements Analysis of Big Data Applications
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