发明名称 SYSTEM AND METHOD FOR REVEALING CORRELATIONS BETWEEN DATA STREAMS
摘要 The disclosed techniques can provide users with a tool having an integrated, user-friendly interface and having automated mechanisms which can reveal correlations between data streams to the users in a clear and easily understandable way, thereby enabling the users to easily digest the vast amount of information contained in activities within one or more network, to understand the correlations among the activities, to stay informed and responsive to current or new trends, and even to predict future trends. Among other benefits, the disclosed techniques are especially useful in the context of discovering impacts of social networking activities on other types of commercial activities.
申请公布号 US2014258198(A1) 申请公布日期 2014.09.11
申请号 US201414263343 申请日期 2014.04.28
申请人 BOTTLENOSE, INC. 发明人 Spivack Nova;ter Heide Dominiek;Mousavi Seyed Ali
分类号 G06N5/04;G06Q50/00 主分类号 G06N5/04
代理机构 代理人
主权项 1. A method for revealing correlations in data signals, the method comprising: automatically importing a first data stream comprising a first series of the data signals from conversations occurred within one or more social networks; importing a second data stream comprising a second 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 two-dimensional 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; displaying, on the user interface, correlation scores adjacent to their respective attributes; based on the correlation, employing a predictive algorithm to predict a future trend of the second series of data signals in the second data stream; and verifying the prediction by comparing the predicted future trend with real data signals as the real data signals arrive from the second data stream.
地址 Sherman Oaks CA US