Abstract: Early detection of high volume swarms in a peer-to-peer network, including a data feed of peer-to-peer swarm activity, and an analytics engine processing the data feed and identifying the high volume swarms that have parameters that exceed a threshold. The system can include a pre-processing section for conditioning the swarm data for the analytics section. There can also be a verification section that confirms that the peer download file matches the target file. The early detection provides for enhanced anti-piracy efforts, improved allocation of network resources, and better business decision-making.

Abstract: A system for optimal planning of electric power demand is presented. The system includes a node comprising one or more smart charging plug-in electric vehicles (SCPEVs), a processing subsystem, wherein the processing subsystem receives relevant data from one or more sources; and determines an optimized SCPEV load and optimal charging schedule for the node by applying an operations research technique on the relevant data.

Abstract: A system for generating web analytic reports includes a client interface unit configured to receive one or more predefined tagging conditions from a client for generating a set of tagging rules based on the one or more predefined tagging conditions. The system also includes a tag generation unit configured to generate a client tagged data based on the set of tagging rules. The system also includes an output interface unit configured to generate web analytic reports via analyzing the client tagged data based on the set of tagging rules.

Abstract: A system for generating web analytic reports is provided. The system includes a processor configured to receive an input web page link, execute a unified tag for the input web page link, and generate unified tagged data based on the executed unified tag. The system also includes a server side translation unit configured to translate the unified tagged data to corresponding client tagged data for each of a plurality of clients. The system further includes a plurality of client side analytical units associated with a corresponding client among the plurality of clients and communicatively coupled to the server side translation unit, wherein at least a portion of the client side analytical units are configured to analyze the corresponding client tagged data for each of the plurality of clients and generate a corresponding client side web analytics report for each of the plurality of clients.

Abstract: A system for optimal planning of electric power demand is presented. The system includes a node comprising one or more smart charging plug-in electric vehicles (SCPEVs), a processing subsystem, wherein the processing subsystem receives relevant data from one or more sources; and determines an optimized SCPEV load and optimal charging schedule for the node by applying an operations research technique on the relevant data.

Abstract: An integrated business decision-making system is provided. The system comprises a data processing component, a prediction component and an optimization component. The data processing component is configured to process observational data related to one or more members of a target population. The prediction component is configured to predict a business measure based on one or more selected combinations of marketing actions and the observational data related to one or more of the members of the target population. The optimization component is configured to determine an optimal marketing action based on one or more of the selected combinations of marketing actions and the predicted business measure associated with each of the marketing actions. The optimization component is further configured to determine an optimal predicted business measure for the members of the target population, based on the optimal marketing action.

Abstract: A system for generating web analytic reports is provided. The system includes a processor configured to receive an input web page link, execute a unified tag for the input web page link, and generate unified tagged data based on the executed unified tag. The system also includes a server side translation unit configured to translate the unified tagged data to corresponding client tagged data for each of a plurality of clients. The system further includes a plurality of client side analytical units associated with a corresponding client among the plurality of clients and communicatively coupled to the server side translation unit, wherein at least a portion of the client side analytical units are configured to analyze the corresponding client tagged data for each of the plurality of clients and generate a corresponding client side web analytics report for each of the plurality of clients.

Abstract: A system for generating web analytic reports includes a client interface unit configured to receive one or more predefined tagging conditions from a client for generating a set of tagging rules based on the one or more predefined tagging conditions. The system also includes a tag generation unit configured to generate a client tagged data based on the set of tagging rules. The system also includes an output interface unit configured to generate web analytic reports via analyzing the client tagged data based on the set of tagging rules.

Abstract: Early detection of high volume swarms in a peer-to-peer network, including a data feed of peer-to-peer swarm activity, and an analytics engine processing the data feed and identifying the high volume swarms that have parameters that exceed a threshold. The system can include a pre-processing section for conditioning the swarm data for the analytics section. There can also be a verification section that confirms that the peer download file matches the target file. The early detection provides for enhanced anti-piracy efforts, improved allocation of network resources, and better business decision-making.

Abstract: An integrated business decision-making system is provided. The system comprises a data processing component, a prediction component and an optimization component. The data processing component is configured to process observational data related to one or more members of a target population. The prediction component is configured to predict a business measure based on one or more selected combinations of marketing actions and the observational data related to one or more of the members of the target population. The optimization component is configured to determine an optimal marketing action based on one or more of the selected combinations of marketing actions and the predicted business measure associated with each of the marketing actions. The optimization component is further configured to determine an optimal predicted business measure for the members of the target population, based on the optimal marketing action.

Abstract: Tracking digital asset infringement activities and infringers on peer-to-peer networks. One method for assessing notice effectiveness of unauthorized distributors of content on a peer-to-peer network comprises processing peer data from a plurality of peers on the network, wherein the peer data aids in identification of individual unauthorized distributors. The embodiment includes creating a trial with a trial base population of the unauthorized distributors and a trial capture window, determining metrics for measuring the notice effectiveness, selecting a randomization methodology for the trial, performing the trial with the trial base population over the trial capture window according to the randomization methodology and issuing notices to some of the unauthorized distributors.