Stochastic process control for large sets of real-time binary data
In this project, we apply stochastic process control techniques to the analysis of real-time data analysis. In particular we look into the data in the form of binary values that indicate the successful execution of repeated tasks. The goal is to identify, without relying on prior knowledge about the probability distribution of the process, sudden changes in the execution modes.
Prof.dr.ir Ming Cao
|08 April 2014 10.18 a.m.