Abstract: Disclosed herein is a method implemented by a task mining engine. The task mining engine is stored as processor executable code on a memory. The processor executable code is executed by a processor that is communicatively coupled to the memory. The method includes receiving recorded tasks identifying user activity with respect to a computing environment and clustering the recorded user tasks into steps by processing and scoring each recorded user task. The method also includes extracting step sequences that identify similar combinations or repeated combinations of the steps to mimic the user activity.

Abstract: Disclosed herein is a method implemented by a task mining engine. The task mining engine is stored as processor executable code on a memory. The processor executable code is executed by a processor that is communicatively coupled to the memory. The method includes receiving recorded tasks identifying user activity with respect to a computing environment and clustering the recorded user tasks into steps by processing and scoring each recorded user task. The method also includes extracting step sequences that identify similar combinations or repeated combinations of the steps to mimic the user activity.

Abstract: A method of adapting content distribution. The method comprises receiving a stream of data from a plurality of sources by a computer system, storing the stream of data in a message queueing system executed on the computer system, and analyzing the stream of data based on a model of data content by the computer system, where the model is developed automatically based on training the model with historic data. The method further comprises based on the analysis of the stream of data using the model, adapting the information in the stream of data and after adapting the information in the stream of data, processing the data by a processing system executed on the computer system, where the processing comprises storing at least some of the data in a data store.

Abstract: A method of generating imputed location fixes of a mobile communication device. The method comprises accessing event data created by a mobile communication device that comprises a time stamp, determining a plurality of location fixes of the mobile communication device, analyzing the location fixes to determine a plurality of location clusters associated with the mobile communication device, determining a location centroid of each location cluster, analyzing the location centroids and the time stamps of the event data, determining a travel route of the mobile communication device based on the analysis of location centroids and time stamps of event data, and determining a plurality of imputed location fixes of the mobile communication device at positions along the travel route of the mobile communication device, where the imputed location fixes comprise an imputed location and an imputed time stamp.

Abstract: A method of mobile content distribution. The method comprises receiving requests to provide mobile content to a mobile communication device by an application executing on a computer system, where each request comprises a user identity, looking up profile information by the application based on the user identity, and evaluating the profile information by the application according to a Boolean rule, where each rule defines a plurality of conditions for satisfying the rule in terms of three or more of gender, location, identity of a mobile application installed on a mobile communication device, age category, and identity of a mobile communication device model. The method further comprises, for a content request that evaluates true in the Boolean rule, scoring the profile information according to a model and sending mobile content to a mobile communication device associated with the profile information whose score exceeds a predefined threshold.