SYSTEM AND METHOD FOR PROCESSING COMPLEX DATASETS BY CLASSIFYING ABSTRACT REPRESENTATIONS THEREOF

摘要

In the present disclosure, a system for analyzing complex datasets includes one or more servers, one or more machine learning algorithms, one or more client devices having one or more displays, and a network connecting the one or more servers and the one or more client devices. A complex dataset is stored on the one or more servers and is parsed into one or more chunks, which are abstracted as a plurality of abstract representations to form a plurality of graphical matrices. Still further, the one or more servers transmit, over the network to the one or more client devices, graphical matrices developed from the complex dataset for display to a human observer. The system includes the human observer comparing the first and second graphical matrices as well as classifying the graphical matrices, and said classification providing the one or more machine learning algorithms with information about the complex dataset.