Abstract: The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.

Abstract: The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.

Abstract: The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.

Abstract: Detection of anomalous events in the operation of information technology (IT) components includes receiving messages, which describe events in the operation of the IT components in real time, and categorizing and condensing the messages received in a first time interval into message patterns by message pattern type. Based on a distribution of occurrences of the message patterns in the first time interval and in preceding time intervals, anomaly scores are assigned to the message patterns, and one or more of the message patterns are classified as being anomalous message patterns that correspond to potentially anomalous events in the operation of the IT infrastructure installation. A degree of correlation between occurrences of the anomalous message patterns and occurrences of application alarms is determined. Message patterns with high anomaly scores and having a high degree of correlation with application alarms are deemed significant and prioritized for display to users.

Abstract: Detection of anomalous events in the operation of information technology (IT) components includes receiving messages, which describe events in the operation of the IT components in real time, and categorizing and condensing the messages received in a first time interval into message patterns by message pattern type. Based on a distribution of occurrences of the message patterns in the first time interval and in preceding time intervals, anomaly scores are assigned to the message patterns, and one or more of the message patterns are classified as being anomalous message patterns that correspond to potentially anomalous events in the operation of the IT infrastructure installation. A degree of correlation between occurrences of the anomalous message patterns and occurrences of application alarms is determined. Message patterns with high anomaly scores and having a high degree of correlation with application alarms are deemed significant and prioritized for display to users.