Abstract: A dynamically generated search query is generated based on rarity scores associated with raw-level computer events. Event data is pre-processed using historical information about the frequency, or rarity, of instances of individual events. Each event is assigned one or more labels that identify the event based on the historical information. The rarity scores represent probabilities of events occurring with the same labels. The rarity scores are associated with n-grams of the labels (e.g., a combination of two labels, three labels, etc.). A label n-gram score is calculated based on newly observed events and the rarity scores corresponding to the label n-grams. The search query is generated based on the label n-gram score. The search query is executed against a database to retrieve information, such as diagnostics, used to alert an administrator to events that are potentially anomalous.

Abstract: A dynamically generated search query is generated based on rarity scores associated with raw-level computer events. Event data is pre-processed using historical information about the frequency, or rarity, of instances of individual events. Each event is assigned one or more labels that identify the event based on the historical information. The rarity scores represent probabilities of events occurring with the same labels. The rarity scores are associated with n-grams of the labels (e.g., a combination of two labels, three labels, etc.). A label n-gram score is calculated based on newly observed events and the rarity scores corresponding to the label n-grams. The search query is generated based on the label n-gram score. The search query is executed against a database to retrieve information, such as diagnostics, used to alert an administrator to events that are potentially anomalous.