Abstract: A system, method, and computer-readable medium for performing a variable and interaction detection operation. In certain embodiments, the variable and interaction detection operation detects important variables and as well as interactions among certain important variables in big data. In certain embodiments, the variable and interaction detection operation includes a robust automated process flow (i.e., an analytic recipe) which identifies important variables and their interactions in large data sets.

Abstract: A system, method, and computer-readable medium are disclosed for identifying sources of variation in complex manufacturing processes via a variation identification operation. In certain embodiments, the variation identification operation is performed via a variation identification system. The variation identification operation addresses special class of analytic problems, namely the estimation of variance components and related statistics from very large (big data) hierarchically nested designs of random factors. These types of data structures occur frequently across various industries, and in particular in automated and batch manufacturing where the variability in product quality as measured in final product testing should be related to batches, lots, wafers, suppliers, etc. upstream of the process.

Abstract: A system, method, and computer-readable medium are disclosed for identifying sources of variation in complex manufacturing processes via a variation identification operation. In certain embodiments, the variation identification operation is performed via a variation identification system. The variation identification operation addresses special class of analytic problems, namely the estimation of variance components and related statistics from very large (big data) hierarchically nested designs of random factors. These types of data structures occur frequently across various industries, and in particular in automated and batch manufacturing where the variability in product quality as measured in final product testing should be related to batches, lots, wafers, suppliers, etc. upstream of the process.

Abstract: A system, method, and computer-readable medium for performing a variable and interaction detection operation. In certain embodiments, the variable and interaction detection operation detects important variables and as well as interactions among certain important variables in big data. In certain embodiments, the variable and interaction detection operation includes a robust automated process flow (i.e., an analytic recipe) which identifies important variables and their interactions in large data sets.