Abstract: A computer-implemented method for re-notifying a user about a previous notification is disclosed. The computer-implemented method includes determining a baseline notification rate of the user. The computer-implemented method further includes determining whether the user's current notification rate exceeds a predetermined threshold with respect to the baseline notification rate. The computer-implemented method further includes determining, in response to the user's current notification rate exceeding the predetermined threshold, whether renotification of a notification is required. The computer-implemented method further includes re-notifying, in response to determining that renotification of the notification is required, the user about the notification.

Abstract: A computer-implemented method for re-notifying a user about a previous notification is disclosed. The computer-implemented method includes determining a baseline notification rate of the user. The computer-implemented method further includes determining whether the user's current notification rate exceeds a predetermined threshold with respect to the baseline notification rate. The computer-implemented method further includes determining, in response to the user's current notification rate exceeding the predetermined threshold, whether renotification of a notification is required. The computer-implemented method further includes re-notifying, in response to determining that renotification of the notification is required, the user about the notification.

Abstract: A method of data classification includes: identifying a cluster of data classes; classifying columns of a current data set; identifying the cluster in the current data set; determining, based on the cluster, an expected column is missing from the current data set; determining a neighboring data set; identifying the expected column in the neighboring data set; classifying the expected column in the neighboring data set; creating a new data class in the current data set; and classifying an unclassified column in the current data set or the neighboring data set with the new data class.

Abstract: Two or more computing devices involved in a software based conference are determined. Each computing device of the two or more computing devices has an associated user. An input from a computing device of the two or more computing devices is received. A user action for a user associated with a computing device of the two or more computing devices from the input is determined. Whether the user completed the user action within a threshold is determined. The user is alerted of the user action.

Abstract: A method of data classification includes: identifying a cluster of data classes; classifying columns of a current data set; identifying the cluster in the current data set; determining, based on the cluster, an expected column is missing from the current data set; determining a neighboring data set; identifying the expected column in the neighboring data set; classifying the expected column in the neighboring data set; creating a new data class in the current data set; and classifying an unclassified column in the current data set or the neighboring data set with the new data class.