Supervised Aggregative Feature Extraction for Big Data Time Series Regression.

In many applications, and especially those where batch processes are involved, a target scalar output of interest is often dependent on one or more time series of data. With the exponential growth in data logging in modern industries, such time series are increasingly available for statistical modeling in soft sensing applications. In order to exploit time-series data for predictive modeling, it i...