Abstract: A computer-implemented method, a computer system and a computer program product create a database of corrective actions from IT operations. The method includes obtaining a plurality of tickets from a server. A ticket in the plurality of tickets comprises text. The method also includes generating a plurality of clusters of tickets from the plurality of tickets using a machine learning clustering algorithm. In addition, the method includes identifying the corrective action in the text of the ticket using a natural language processing algorithm. The method further includes determining that the corrective action represents a successful action. lastly, the method includes storing the corrective action in the database of corrective actions, where the database associates the corrective action with the cluster of tickets.

Abstract: A method, computer system, and a computer program for data selection is provided. The present invention may include generating a first model associated with a dataset. The present invention may further include determining a first model performance level associated with the first model based on a plurality of dataset metric values of the dataset. The present invention may further include a plurality of data subsets of a dataset based on the first model performance level failing to exceed a performance threshold and calculating a plurality of subset metric values associated with the plurality of data subsets. The present invention may further include generating a second model associated with at least one data subset based on the plurality of subset metric values and determining an optimization associated with the first model based on a second model performance level associated with the second model exceeding the performance threshold.