Patent ID: 8762302
Filing Date: 2014-06-24
Classification: G06N,G06Q

Abstract:
1. A method for revealing correlations in data signals, the method comprising: automatically importing a first data stream comprising a first time series of the data signals from conversations occurred within one or more social networks; importing a second data stream comprising a second time series of the data signals from a user selected data source, wherein each of the data streams includes a plurality of attributes which categorize a corresponding data stream's total volume; responsive to a selection of one or more attributes of a respective data stream, displaying, on a user interface, the data signals which correspond to the selected attributes using a time series plot; determining correlations between the data streams based on calculating a correlation score for each correlation between (1) each selected attribute in the first data stream and (2) each selected attribute in the second data stream, wherein the correlation score is calculated at least in part based on permutations of different lengths of time shifts in which the data signals take place; and displaying, on the user interface, correlation scores adjacent to their respective attributes.