Abstract: A computer system to detect data alerts includes a data preprocessing system and a data analysis system. The data preprocessing system obtains system data of the computer system, generates predicted data based on the system data, and generates differential data indicating a difference between the system data and the predicted data. The data analysis is in signal communication with the data preprocessing system and determines that the differential data is one of expected event or an anomaly event in response to adding at least one new value from the differential data to the predicted data.

Abstract: Methods, systems, and computer program products for identifying relationships among a group of indicators are provided. Aspects include obtaining the group of indicators, including a number of indicators relating to an operation of a computing system. Aspects also include creating pairs of indicators, wherein the pairs of indicators includes all possible combination of the group of indicators. Aspects further include, for each pair of indicators, calculating a linear correlation score, calculating a fitting function score, determining a final correlation score based at least in part on one of the linear correlation score and the fitting function score and storing the final correlation score in a relationship database. Aspects also include creating a graphical display based on the relationship database, wherein the graphical display is configured to convey a strength relationships among the group of indicators.