Abstract: An apparatus comprises a processing platform configured to implement a machine learning system for automated classification of documents comprising text data of at least one database. The machine learning system comprises a clustering module configured to assign each of the documents to one or more of a plurality of clusters corresponding to respective topics identified from the text data in accordance with at least one topic model, and an interface configured to present portions of documents assigned to a particular one of the clusters by the clustering module and to receive feedback regarding applicability of the corresponding topic to each of one or more of the presented portions on a per-portion basis. The topic model is updated based at least in part on the received feedback. The feedback may comprise, for example, selection of a confidence level for applicability of the topic to a given one of the presented portions.

Abstract: A method in one embodiment comprises extracting features from each of a plurality of software investigation log sets, generating representations for respective ones of the software investigation log sets based at least in part on the corresponding extracted features, and storing the representations in a knowledge base. In conjunction with obtaining at least one additional software investigation log set, the method generates a representation of the additional software investigation log set, identifies one or more of the representations previously stored in the knowledge base that exhibit at least a specified similarity to the representation of the additional software investigation log set in accordance with one or more statistical models, and presents information characterizing the one or more software investigation log sets corresponding to respective ones of the identified one or more representations in a user interface.

Abstract: An apparatus comprises a processing platform configured to implement an analysis and visualization tool for combined processing of structured and unstructured service event data. The structured service event data comprises service event data stored in one or more structured data fields of a service events database, and the unstructured service event data includes documents comprising unstructured text data of the service events database. The analysis and visualization tool is associated with a clustering module that assigns each of the documents to one or more clusters corresponding to respective topics. The analysis and visualization tool comprises an interface that permits selection of one or more of the structured data fields, and a visualization module configured to generate at least one visualization as a function of the selected one or more structured data fields and particular ones of the cluster topics that relate to the selected one or more structured data fields.

Abstract: An apparatus comprises a processing platform configured to implement an analytic engine for evaluation of at least one of a converged infrastructure environment and one or more components of the converged infrastructure environment. The analytic engine comprises an extraction module configured to extract one or more features corresponding to the converged infrastructure environment, a learning and modeling module configured to predict an expected quantitative performance value of at least one of the converged infrastructure environment and the one or more components of the converged infrastructure environment based on the extracted one or more features, and comparison and ranking modules. The comparison module is configured to calculate a difference between an actual quantitative performance value of at least one of the converged infrastructure environment and the one or more components of the converged infrastructure environment and the expected quantitative performance value.