Patent ID: 9143393
Filing Date: 2015-09-22
Classification: G06K,G06N,G16B,H04L

Abstract:
1. An incrementally learning data classification system comprising at least one specially-programmed server comprising a processor and at least one machine-readable storage, said server being operably connected to a computer network, wherein said processor is adapted to: a. receive input data elements from said computer network; b. compute a normalized compression distance between said input data elements and a plurality of representative data elements stored in said machine-readable storage and compare said input data elements to said representative data elements based on a threshold value such that c. said processor is further adapted to output associations of said input data elements and said representative data elements based on said normalized compression distance being less than said threshold value wherein said associations represent categorizations of said input data elements and said representative data elements based on common properties; whereby said input data elements are classified based on said associations output by said processor.