Abstract: A method and a system are disclosed for displaying data representative of a large dataset. The method comprises the use of a processing device for receiving the dataset comprising a plurality of data points of dimension m; reducing the dimension m of at least one data point of the plurality of data points to a dimension selected from a group consisting of two (2) and three (3) if the dimension of the at least one data point is greater than or equal to three (3); generating at least one data cluster, each data cluster comprising a given number of data points; determining a set of representative data points for each generated at least one data cluster, each representative data point of a given set for representing a region of a corresponding given data cluster comprising a plurality of adjacent data points and displaying in a user interface the determined at least one set of representative data points of the at least one corresponding generated data cluster.

Abstract: A method and system are disclosed for performing real-time analytics on a plurality of data streams, the method comprising obtaining a plurality of data streams; accumulating real-time changes of the obtained plurality of data streams in a buffer unit to provide a buffered data portion; monitoring the buffered data portion for determining a calculation event, wherein the calculation event is based on a strategy based on observing given features in the buffered data portion; upon detection of the calculation event, generating an optimization problem indicative of the real-time analytics to be performed on one of given data portions of the plurality of data streams and a data structure generated using given data portions of the plurality of data streams; transforming the generated optimization problem into an optimization problem suitable for an optimization oracle; providing the transformed generated optimization problem to the optimization oracle; obtaining at least one solution from the optimization oracle;

Abstract: A method and system are disclosed for performing real-time analytics on a plurality of data streams, the method comprising obtaining a plurality of data streams; accumulating real-time changes of the obtained plurality of data streams in a buffer unit to provide a buffered data portion; monitoring the buffered data portion for determining a calculation event, wherein the calculation event is based on a strategy based on observing given features in the buffered data portion; upon detection of the calculation event, generating an optimization problem indicative of the real-time analytics to be performed on one of given data portions of the plurality of data streams and a data structure generated using given data portions of the plurality of data streams; transforming the generated optimization problem into an optimization problem suitable for an optimization oracle; providing the transformed generated optimization problem to the optimization oracle; obtaining at least one solution from the optimization oracle;

Abstract: A method and a system are disclosed for displaying data representative of a large dataset. The method comprises the use of a processing device for receiving the dataset comprising a plurality of data points of dimension m; reducing the dimension m of at least one data point of the plurality of data points to a dimension selected from a group consisting of two (2) and three (3) if the dimension of the at least one data point is greater than or equal to three (3); generating at least one data cluster, each data cluster comprising a given number of data points; determining a set of representative data points for each generated at least one data cluster, each representative data point of a given set for representing a region of a corresponding given data cluster comprising a plurality of adjacent data points and displaying in a user interface the determined at least one set of representative data points of the at least one corresponding generated data cluster.

Abstract: A method and system are provided for optimizing asset allocation in a cognitive radio configuration, the method comprising obtaining, in a digital computer, an indication of the cognitive radio configuration; converting the indication of the cognitive radio configuration into a degree 2 polynomial; providing the degree 2 polynomial to a quadratic programming machine; solving the degree 2 polynomial using the quadratic programming machine to generate binary solutions; the digital computer receiving the generated binary solutions and generating an asset allocation for the cognitive radio configuration and providing the generated asset allocation for the cognitive radio configuration.

Abstract: A method and system are provided for optimizing asset allocation in a cognitive radio configuration, the method comprising obtaining, in a digital computer, an indication of the cognitive radio configuration; converting the indication of the cognitive radio configuration into a degree 2 polynomial; providing the degree 2 polynomial to a quadratic programming machine; solving the degree 2 polynomial using the quadratic programming machine to generate binary solutions; the digital computer receiving the generated binary solutions and generating an asset allocation for the cognitive radio configuration and providing the generated asset allocation for the cognitive radio configuration.