View source for 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==

[[:Category:Robert Bosch GmbH|Robert Bosch GmbH]]


[[Category:Robert Bosch GmbH]]

==Inventor(s)==

[[:Category:Mark Herrmann of Radebeul (DE)|Mark Herrmann of Radebeul (DE)]][[Category: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.



[[Category:G05B19/418]]