Method for In-Database Feature Selection for High-Dimensional Inputs

Patent metadata

Field	Value
Publication number	US-2017316050-A1
Application number	US-201615139672-A
Country	US
Kind code	A1
Filing date	Apr 27, 2016
Priority date	Apr 27, 2016
Publication date	Nov 2, 2017
Grant date	—

Abstract

A system, method, and computer-readable medium for performing in-database operations, comprising: presenting an automation interface to a user, the user interface 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; executing at least one database statement within the storage system to derive a subset of diagnostic parameters from the high dimensional parameter space.

First claim

We claimed is:

1 . A computer-implementable method for performing in-database operations, comprising:
presenting an automation interface to a user, the user interface 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; executing at least one database statement within the storage system to derive a subset of diagnostic parameters from the high dimensional parameter space.

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 , further comprising:
providing results from the execution of the at least one database statement to the user.

4 . The method of claim 1 , wherein:
deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of selected parameters.

5 . The method of claim 4 ; wherein:
the feature selection operation comprises linear feature selection operations and nonlinear feature selection operations.

6 . 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.

7 . A system comprising:
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 user interface 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;
executing at least one database statement within the storage system to derive a subset of diagnostic parameters from the high dimensional parameter space.

8 . The system 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 system of claim 7 , wherein the instructions are further configured for:
providing results from the execution of the at least one database statement to the user.

10 . The system of claim 7 , wherein:
deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of selected parameters.

11 . The system of claim 10 , wherein:
the feature selection operation comprises linear feature selection operations and nonlinear feature selection operations.

12 . The system 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.

13 . A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
presenting an automation interface to a user, the user interface 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; executing at least one database statement within the storage system to derive a subset of diagnostic parameters from the high dimensional parameter space.

14 . The non-transitory, computer-readable storage medium of claim 13 , 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.

15 . The non-transitory, computer-readable storage medium of claim 13 , wherein the instructions are further configured for:
providing results from the execution of the at least one database statement to the user.

16 . The non-transitory, computer-readable storage medium of claim 13 , wherein:
deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of selected parameters.

17 . The non-transitory, computer-readable storage medium of claim 16 , wherein:
the feature selection operation comprises linear feature selection operations and nonlinear feature selection operations.

18 . The non-transitory, computer-readable storage medium of claim 13 , wherein:
deriving the subset of diagnostic parameters comprises performing a feature selection operation for each of a plurality of key performance indicators.

Assignees

• Dell Software Inc

Inventors

• Hill Thomas
• Rastunkov Vladimir S
• Butler George R

Classifications

• G06F16/2428 Primary

  Query predicate definition using graphical user interfaces, including menus and forms (G06F16/2423 takes precedence) · CPC title

• G06F17/30525

  Physics · mapped topic

• G06F17/30398 Primary

  Physics · mapped topic

• G06F3/04842

  Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) · CPC title

• G06F3/04847

  Interaction techniques to control parameter settings, e.g. interaction with sliders or dials · CPC title