Abstract: Machine generated data entries are received. The machine generated data entries are clustered into a plurality of different clusters that each includes a different subset of the received machine generated data entries. For each of the plurality of different clusters, content of the corresponding subset of the received machine generated data entries belonging to the corresponding cluster of the plurality of different clusters is analyzed to determine a corresponding pattern of the corresponding cluster. A new machine generated data entry is received. The new machine generated data entry is matched to one of the determined patterns. The new machine generated data entry is assigned to one of the plurality of different clusters corresponding to the matched pattern.

Abstract: Machine generated data entries are received. The machine generated data entries are clustered into a plurality of different clusters that each includes a different subset of the received machine generated data entries. For each of the plurality of different clusters, content of the corresponding subset of the received machine generated data entries belonging to the corresponding cluster of the plurality of different clusters is analyzed to determine a corresponding pattern of the corresponding cluster. A new machine generated data entry is received. The new machine generated data entry is matched to one of the determined patterns. The new machine generated data entry is assigned to one of the plurality of different clusters corresponding to the matched pattern.

Abstract: Disclosed herein are systems and methods for dynamically generating menu items in response to a user selection of text in a scripting interface based on a context associated with the text and metadata associated with the text. Using the techniques disclosed herein, a computing system generates one or more menu items in a pop-up menu in response to a selection (e.g., right-click) of text. The computer system enables user customization of the menu items 132 aggregated on the pop-up menu 130, such that the user customization includes defining the task executed by a menu item in response to being selected from the pop-up menu and defining conditions in which the menu item may be generated in the pop-up menu. In some embodiments, machine-learning techniques may be implemented by the computing system to dynamically identify selection trends and predict suitable menu items to propagate on the pop-up menu.

Abstract: Disclosed herein are systems and methods for dynamically generating menu items in response to a user selection of text in a scripting interface based on a context associated with the text and metadata associated with the text. Using the techniques disclosed herein, a computing system generates one or more menu items in a pop-up menu in response to a selection (e.g., right-click) of text. The computer system enables user customization of the menu items 132 aggregated on the pop-up menu 130, such that the user customization includes defining the task executed by a menu item in response to being selected from the pop-up menu and defining conditions in which the menu item may be generated in the pop-up menu. In some embodiments, machine-learning techniques may be implemented by the computing system to dynamically identify selection trends and predict suitable menu items to propagate on the pop-up menu.