Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies

Abstract

This article will focus on the fourth V, the veracity, to demonstrate the essential impact of modeling uncertainty on learning performance improvement. Low veracity corresponds to the changed uncertainty and the large-scale missing values of big data. Sometimes, along with the growing size of datasets, the uncertainty of data itself often changes sharply, which definitely makes the traditional processing tools unavailable. Except for the changed uncertainty of data itself, the uncertainty in data modeling and data processing are also changing very notably.

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