SBIR/STTR Award attributes
Sherlock is a data mining solution that will aid in the discovery of correlations and causations between BMDS performance and critical factors within large amounts of missile defense simulation data. It is initially focused on the digital test events, but could include any datasets (from digital, ground test, flight test, and SPMTs/SPFRs). Sherlock aims to provide a platform that can aid in identifying how system response relationships tie scenario inputs to system functions and system functions to the final mission-level performance. Sherlock consists of two main components: the data exploration tool and the machine learning insight tool to provide in depth analysis to support decisions in the MDA. Approved for Public Release | 20-MDA-10398 (2 Mar 20)
