Data driven classification and troubleshooting system and method using associative memory and a machine learning algorithm to improve the accuracy and performance of the associative memory

• Main Authors: Warn, Brian, Nakamoto, Kyle M, Flores, Jaime A, Esguerra, Fredwilliam, Young, Danielle C, Arnold, William G
• Format: Patent
• Language: English
• Published: 23.04.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; INFORMATION STORAGE; PHYSICS; STATIC STORES

There is provided a computer implemented data driven classification and troubleshooting system and method. The system has an interface application enabled to receive data. The system has an associative memory software in communication with the interface application via an API. The associative memory software has an associative memory and a machine learning algorithm. The system has one or more individual areas, within the associative memory, requiring one or more troubleshooting actions to improve accuracy of the individual areas. The system has at least one troubleshooting tool enabled by the interface application. The at least one troubleshooting tool enables or performs the troubleshooting actions. The system has a quality rating metric (QRM) that measures a strength and an assurance that one or more predictions of the associative memory are correct. The one or more troubleshooting actions results in improving the accuracy and the performance of the associative memory.