Method for in-database feature selection for high-dimensional inputs

1. A computer-implementable method for performing in-database operations on parameters associated with complex manufacturing processes, comprising:

presenting an automation interface to a user, the automation interface enabling a user to select one or more key performance indicators;

instantiating an in-database processing operation, the in-database processing operation performing feature selection from a high dimensional parameter space, wherein database statements are executed in parallel to derive a subset of diagnostic parameters from the high dimensional parameter space; and

displaying results showing the subset of diagnostic parameters and strength of relationship to the one or more key performance indicators;

wherein the in-database processing operation performing feature selection comprises:

determining one or more key performance indicators containing at least one of discrete values and continuous measurements; and

constructing the database statements using a common query language and capabilities of a storage system;

wherein the discrete values and continuous measurements trace quality issues associated with the complex manufacturing process;

wherein deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of selected parameters;

wherein the feature selection operation comprises linear feature selection operations and nonlinear feature selection operations;

wherein the linear feature selection operations and the nonlinear feature selection operations are performed for the discrete values and continuous measurements.

2. The method of claim 1 , further comprising:

distributing the at least one database statement across a plurality of nodes of the storage system; and,

executing the at least one database statement at each of the plurality of nodes of the storage system.

3. The method of claim 1 , wherein:

deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of key performance indicators.

4. A system comprising for performing in-database operations on parameters associated with complex manufacturing processes:

a processor;

a data bus coupled to the processor; and

a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:

presenting an automation interface to a user, the automation interface enabling a user to select one or more key performance indicators;

instantiating an in-database processing operation, the in-database processing operation performing feature selection from a high dimensional parameter space, wherein

database statements are executed in parallel to derive a subset of diagnostic parameters from the high dimensional parameter space; and

displaying results showing the subset of diagnostic parameters and strength of relationship to the one or more key performance indicators;

wherein the in-database processing operation performing feature selection comprises:

determining one or more key performance indicators containing at least one of discrete values and continuous measurements; and

constructing the database statements using a common query language and capabilities of a storage system;

wherein the discrete values and continuous measurements to trace quality issues associated with the complex manufacturing process;

wherein deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of selected parameters,

wherein the feature selection operation comprises linear feature selection operations and nonlinear feature selection operations;

wherein the linear feature selection operations and the nonlinear feature selection operations are performed for the discrete values and continuous measurements.

5. The system of claim 4 , wherein the instructions are further configured for:

distributing the at least one database statement across a plurality of nodes of the storage system; and,

executing the at least one database statement at each of the plurality of nodes of the storage system.

6. The system of claim 4 , wherein:

deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of key performance indicators.

7. A non-transitory, computer-readable storage medium embodying computer program code for performing in-database operations on parameters associated with complex manufacturing processes, the computer program code comprising computer executable instructions configured for:

presenting an automation interface to a user, automation interface enabling a user to select one or more key performance indicators;

instantiating an in-database processing operation, the in-database processing operation performing feature selection from a high dimensional parameter space, wherein

database statements are executed in parallel to derive a subset of diagnostic parameters from the high dimensional parameter space; and

displaying results showing the subset of diagnostic parameters and strength of relationship to the one or more key performance indicators;

wherein the in-database processing operation performing feature selection comprises:

determining one or more key performance indicators containing at least one of discrete values and continuous measurements; and

constructing the database statements using a common query language and capabilities of a storage system;

wherein the discrete values and continuous measurements trace quality issues associated with the complex manufacturing process;

wherein deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of selected parameters;

wherein the feature selection operation comprises linear feature selection operations and nonlinear feature selection operations;

wherein the linear feature selection operations and the nonlinear feature selection operations are performed for the discrete values and continuous measurements.

8. The non-transitory, computer-readable storage medium of claim 7 , wherein the instructions are further configured for:

distributing the at least one database statement across a plurality of nodes of the storage system; and,

executing the at least one database statement at each of the plurality of nodes of the storage system.

9. The non-transitory, computer-readable storage medium of claim 7 , wherein:

deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of key performance indicators.