Patent Document ID: 20170004414
Application ID: 14788764
Patent Flag: 0

Claim One:
1. A method for improving accuracy and quality of received data, the method comprising the steps of: providing a computer implemented data driven classification and data quality checking system having an interface application in communication with an associative memory software, operating on one or more computers; using the associative memory software to build a data driven associative memory model that enables a machine learning data quality checker for receiving data; categorizing one or more fields of received data with the data driven associative memory model; analyzing the received data with the data driven associative memory model; calculating, with the data driven associative memory model, a data quality rating metric associated with the received data, by comparing the received data with a pool of neighboring data in the category of field of the received data; accepting and adding the received data to the pool of neighboring data by a machine learning data quality checker, if the data quality rating metric is greater than or equal to a data quality rating metric threshold; and generating and communicating with the machine learning data quality checker, via the interface application, an alert of a potential error in the received data in the category of field of the received data, if the data quality rating metric is less than the data quality rating metric threshold.