Abstract: Historical in-process machining information can be used to make machining process parameter recommendations. The disclosed systems and methods enable continuous learning for machining parameter selection using aggregated in-process machining information. The systems and methods save in-process machining data in a database using a standardized format, use data augmentation outlier detection, aggregation, and clustering algorithms to make machining process parameter recommendations and expected cut time predictions based on user inputs. The system can include a front-end dashboard to facilitate visualization and interpret results.

Abstract: An adaptive system processes social media streams in real time. The adaptive system included a data management engine that generates combined data sets by detecting and mining a plurality of text-based messages from a social networking service on the Internet. An analytics engine in communication with the data management engine monitors topics in the text-based messages and tracks topic evolution contained in the text-based messages. A visualization engine in communication with the analytics engine renders historical and current activity associated with the plurality of text-based messages.

Abstract: Systems and methods are presented in which interactive parallel coordinates capabilities are combined with automated correlation and regression tools providing advanced visual user interface utilities to facilitate identification of associations in multivariate data.

Abstract: Systems and methods are presented in which interactive parallel coordinates capabilities are combined with automated correlation and regression tools providing advanced visual user interface utilities to facilitate identification of associations in multivariate data.