Invention Grant
- Patent Title: Systems and methods for machine learning based rule discovery for data migration
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Application No.: US16998674Application Date: 2020-08-20
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Publication No.: US12118478B2Publication Date: 2024-10-15
- Inventor: Pramod Divakarmurthy , Hua Zhai Solomon , Nikhil Raikar , Prabhakar Mani , Amol Vinayak Jadhav , Behlool Sabir , Yugang Jia , Bidhan Roy , Mark Homer
- Applicant: FMR LLC
- Applicant Address: US MA Boston
- Assignee: FMR LLC
- Current Assignee: FMR LLC
- Current Assignee Address: US MA Boston
- Agency: Cesari and McKenna, LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F16/93 ; G06F40/279 ; G06N20/00

Abstract:
Systems and methods for deriving classification rules from documents and a database using rule-based machine learning. The method includes extracting first variables from documents corresponding to an organization. The method further includes extracting second variables from a database corresponding to the organization. The method also includes filtering the extracted second variables based on at least one of null values, repeat variables, location variables, ID variables, or data variables. The method further includes deriving first classification rules based on the first variables using a rule-based machine learning algorithm. The method also includes calculating an accuracy of the derived first classification rules. The method also includes deriving second classification rules based on the first variables and the filtered second variables. The method further includes determining a suggested additional variable based on the derived second classification rules and the calculated accuracy.
Public/Granted literature
- US20210350258A1 Systems and Methods for Machine Learning based Rule Discovery for Data Migration Public/Granted day:2021-11-11
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