Importance

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Abstract

A neural network based data comparison system compares data stored within a database against each other to determine duplicative, fraudulent, defective and/or irregular data. The system includes a database storing data therein, and a pattern database storing pattern data therein. The system further includes a data pattern build system, responsively connected to the database and to the pattern database. The data pattern build system retrieves the data from the database and generates the pattern data formatted in accordance a predetermined patten. The predetermined pattern includes an array having array locations corresponding to each character in a defined character set. The data pattern build system increments a value in each of the array locations responsive to the number of occurrences of each character in the data and stores the array as the pattern data in the pattern database. The comparison system also includes a neural network, responsively connected to the pattern database, which retrieves the pattern data stored therein and compares the pattern data to each other and determines responsive to the comparing when different pattern data match in accordance with predetermined criteria indicating that the different pattern data are duplicative, fraudulent, defective and/or irregular.

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First Claim