Input variable selection in time-critical knowledge integration applications: A review, analysis, and recommendation paper
Input Variable Selection (IVS) helps when processing system inputs is computationally heavy. A framework to accommodate high level perspective of different approaches to IVS is provided. Sensitivity analysis (SA) helps IVS in heterogeneous input variables with time constraint. Event-based SA proves fit by its application in an industrial drilling disaster prevention problem.
input variable selection sensitivity analysis time-critical control dimensionality reduction supervisory control and data acquisition