Dealing With Data Uncertainty
Data is noisy, and this noise deviates from the intended values. This uncertainty is a hallmark of big data. As the amount of data grows, its volume, diversity, and velocity also grow. So, how can we deal with it? There are several things to consider. First, we need to understand what uncertainty is and how it differs from noise. Next, we must know the difference between big and small data. The first is a little bit of background about what data is. Second, we must understand what makes a dataset uncertain. There are two types of uncertainty: attribute and measurement.…