18330692. METHOD AND DEVICE WITH PROCESS DATA ANALYSIS simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
METHOD AND DEVICE WITH PROCESS DATA ANALYSIS
Organization Name
Inventor(s)
Namyeong Kwon of Suwon-si (KR)
METHOD AND DEVICE WITH PROCESS DATA ANALYSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18330692 titled 'METHOD AND DEVICE WITH PROCESS DATA ANALYSIS
The abstract describes a method and device for process attribution identification using machine learning models.
- Generating a process result using a first machine learning model and input data with feature values for multiple process features.
- Creating sample data by modifying reference data based on dependencies between process features.
- Identifying the attribution of process features by comparing process results with sample process results generated by machine learning models.
- The method aims to improve the accuracy of process attribution in complex systems.
Potential Applications: - Process optimization in manufacturing - Fraud detection in financial transactions - Predictive maintenance in industrial equipment
Problems Solved: - Difficulty in accurately attributing process outcomes to specific features - Lack of transparency in machine learning models for process analysis
Benefits: - Enhanced understanding of process dependencies - Improved decision-making based on accurate process attribution
Commercial Applications: Title: "Advanced Process Attribution Technology for Enhanced Decision-Making" This technology can be utilized in various industries such as manufacturing, finance, and predictive maintenance services to optimize processes and improve overall efficiency.
Questions about Process Attribution Technology: 1. How does this technology improve the accuracy of process attribution in complex systems? - The technology uses machine learning models to identify dependencies between process features and accurately attribute process outcomes.
2. What are the potential applications of this technology beyond process optimization in manufacturing? - This technology can also be applied in fraud detection, predictive maintenance, and other industries where process attribution is crucial for decision-making.
Original Abstract Submitted
A method and device with process attribution identification are provided. The method may include generating a process result using a first machine learning model provided input data, where the input data incudes feature values corresponding to a plurality of process features, generating sample data by a first modifying of at least a portion of reference data based on dependency between two or more of the plurality of process features, where the reference data includes a plurality of feature values for a reference process result, identifying an attribution of the plurality of process features based on the generated process result and a sample process result generated using the first machine learning model, or a second machine learning model related to the first machine learning model, provided the generated sample data.
