Abstract: According to an example, event anomaly analysis and prediction may include accessing a master directed graph that specifies known events and transitions between the known events, and ranking each of the known events. Each of the ranked known events may be clustered into a plurality of anomaly categories. A plurality of rules to analyze new events may be determined based on the plurality of anomaly categories. A determination may be made, based on an application of the plurality of rules to data that is to be analyzed for an anomaly, whether the data includes the anomaly. In response to a determination that the data includes the anomaly, a device associated with the data may be controlled.

Abstract: According to an example, event anomaly analysis and prediction may include accessing a master directed graph that specifies known events and transitions between the known events, and ranking each of the known events. Each of the ranked known events may be clustered into a plurality of anomaly categories. A plurality of rules to analyze new events may be determined based on the plurality of anomaly categories. A determination may be made, based on an application of the plurality of rules to data that is to be analyzed for an anomaly, whether the data includes the anomaly. In response to a determination that the data includes the anomaly, a device associated with the data may be controlled.

Abstract: According to an example, event anomaly analysis and prediction may include accessing a master directed graph that specifies known events and transitions between the known events, and ranking each of the known events. Each of the ranked known events may be clustered into a plurality of anomaly categories. A plurality of rules to analyze new events may be determined based on the plurality of anomaly categories. A determination may be made, based on an application of the plurality of rules to data that is to be analyzed for an anomaly, whether the data includes the anomaly. In response to a determination that the data includes the anomaly, a device associated with the data may be controlled.

Abstract: According to an example, event anomaly analysis and prediction may include accessing a master directed graph that specifies known events and transitions between the known events, and ranking each of the known events. Each of the ranked known events may be clustered into a plurality of anomaly categories. A plurality of rules to analyze new events may be determined based on the plurality of anomaly categories. A determination may be made, based on an application of the plurality of rules to data that is to be analyzed for an anomaly, whether the data includes the anomaly. In response to a determination that the data includes the anomaly, a device associated with the data may be controlled.