Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...

Designs and analytic techniques for studies that contribute to causal determinations are in a continuous state of development and evolution. There have been significant shifts in the way study goals ...

One drawback of working for so long in the data industry is that I often misjudge what people think about when they think about data. Particularly, I've observed a common misunderstanding about ...

Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data. Data cleansing is the process of identifying and fixing ...