18447641. Method and Device for Identifying Variables from a Plurality of Variables Having a Dependence on a Predetermined Variable from the Plurality of Variables simplified abstract (Robert Bosch GmbH)
Method and Device for Identifying Variables from a Plurality of Variables Having a Dependence on a Predetermined Variable from the Plurality of Variables
Organization Name
Inventor(s)
Mark Herrmann of Radebeul (DE)
Method and Device for Identifying Variables from a Plurality of Variables Having a Dependence on a Predetermined Variable from the Plurality of Variables - A simplified explanation of the abstract
This abstract first appeared for US patent application 18447641 titled 'Method and Device for Identifying Variables from a Plurality of Variables Having a Dependence on a Predetermined Variable from the Plurality of Variables
Simplified Explanation
The method described in the patent application involves identifying variables that depend on a predetermined variable by using a machine learning system trained on a pre-processed data set.
- Data set with data points for multiple variables and products is provided.
- Predetermined variable is selected from the variables.
- Data set is pre-processed.
- Machine learning system is trained on the pre-processed data set.
- Dependencies of variables on the predetermined variable are determined based on the trained machine learning system.
- Potential Applications
- Predictive analytics in various industries such as finance, marketing, and healthcare.
- Risk assessment and management in insurance and banking sectors.
- Supply chain optimization and demand forecasting in retail and manufacturing.
- Problems Solved
- Identifying key variables that impact a specific outcome.
- Automating the process of determining dependencies between variables.
- Improving decision-making processes based on data-driven insights.
- Benefits
- Enhanced accuracy in predicting outcomes.
- Time and cost savings in analyzing large datasets.
- Improved efficiency in identifying factors influencing a particular variable.
Original Abstract Submitted
A method is for identifying at least one variable from a plurality of variables having a dependence on a predetermined variable from the plurality of variables. The method includes providing a data set having data points for the plurality of variables for a plurality of products respectively and a selection of the predetermined variable from the plurality of variables. The method further includes pre-processing the data set, training a machine learning system on the pre-processed data set, and determining the dependencies of the variables on the predetermined variable based on the trained machine learning system.
