Abstract: A system for identifying an observed phenomenon. The system includes a computing device configured for receiving disparate data streams associated with disparate data sources. The system also includes a feature extraction module communicably connected to the computing device, a classification module communicably connected to the computing device, and a consensus module communicably connected to the computing device. The feature extraction module is configured for generating a set of attributes for each data stream. The classification module is configured for soft associating labels with attributes for each set of attributes, and for generating a confidence value for each soft association. The consensus module is configured for generating an output indicative of the phenomenon. The consensus module includes a standardization module and a sequential data module. The standardization module is configured for standardizing the confidence values.