Abstract: The current document is directed to methods and systems that receive instrumentation-generated events and that employ statistical inference to discover event topics and to assign an action to each of a number of events and that use the actions to predict future events and actions. In a described implementation, accumulated action messages are used to build a predictive model for each monitored website and the predictive model is used, in turn, to predict future actions based on already received actions.

Abstract: The current document is directed to methods and systems that receive instrumentation-generated events and that employ statistical inference to discover event topics and to assign a topic or category to each of a number of events. In a described implementation, the events comprise key/value pairs. A seeded local/global-topic latent Dirichlet allocation methods is used to discover topics and assign topics to a set of events. The topic-assigned events are then processed to generate topic signatures, using which the methods and systems assign topics to subsequently received messages.

Abstract: The current document is directed to methods and systems that receive instrumentation-generated events and that employ statistical inference to discover event topics and to assign an action to each of a number of events and that use the actions to predict future events and actions. In a described implementation, accumulated action messages are used to build a predictive model for each monitored website and the predictive model is used, in turn, to predict future actions based on already received actions.

Abstract: The current document is directed to methods and systems that receive instrumentation-generated events and that employ statistical inference to discover event topics and to assign a topic or category to each of a number of events. In a described implementation, the events comprise key/value pairs. A seeded local/global-topic latent Dirichlet allocation methods is used to discover topics and assign topics to a set of events. The topic-assigned events are then processed to generate topic signatures, using which the methods and systems assign topics to subsequently received messages.

Abstract: A carbonated drink closure and dispensing device having an upper cap portion, a lower cap portion removably and rotatably secured to the upper cap portion at one end, and removably secured to a top opening of a container at an opposing end. The lower cap portion includes an opening allowing fluid contents of the container to flow thererough, and a valve member is dimensioned and configured to cover the lower cap portion opening. An anti-rotation device is disposed on the lower cap portion and houses the valve member, wherein the rotation of the upper cap portion slides the valve member within the anti-rotation device, closing off the opening of the lower cap portion in one position, and moves away from the opening of the lower cap portion allowing fluid contents from the container to flow through the opening and through the upper cap portion.

Abstract: A carbonated drink closure and dispensing device is disclosed having an upper cap portion, a lower cap portion removably and rotatably secured to the upper cap portion at one end, and removably secured to a top opening of a container at an opposing end. The lower cap portion includes an opening allowing fluid contents of the container to flow thererough, and a valve member is dimensioned and configured to cover the lower cap portion opening. The valve member threadably engages the upper cap portion, and an anti-rotation device is disposed on the lower cap portion and houses the valve member, wherein the rotation of the upper cap portion slides the valve member within the anti-rotation device to close off the opening of the lower cap portion in one position, and moves away from the opening of the lower cap portion allowing fluid contents from the container to flow through the opening and through the upper cap portion.