Model repository

• US 7,809,729 B2
• Filed: 07/12/2005
• Issued: 10/05/2010
• Est. Priority Date: 09/22/2000
• Status: Expired due to Fees

• Current Assignee: SAS Institute Incorporated
• Original Assignee: SAS Institute Incorporated
• Inventors: Chu, Chengwen Robert, Tideman, Susan Christine
• Primary Examiner(s): Lu; Kuen S
• Assistant Examiner(s): Rahman; Sabana
• Application Number:
  US11/179,755
• Publication Number:
  US 20050251525A1
• Time in Patent Office: 1,911 Days
• Field of Search: 707/100, 703/3, 715/700
• US Class Current: 707/741
• CPC Class Codes: G06F 16/2228 Indexing structures
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06F 2216/03 Data mining
• CPC Class Codes: Y10S 707/99932 Access augmentation or optimizing
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

A model repository is provided for storing selected data models generated by a data mining application. The model repository may include one or more index data structures for storing attributes of the models within the model repository. A user may then search through the one or more indexes in order to find a model that suits his or her needs.

Claims

1. A method for updating statistical data models in a model repository organized into three levels including a project level, a diagram level, and a model level, the model repository having one or more index structures, each index structure including one or more attributes associated with the statistical data models, the one or more attributes describing statistical data model components contained within the statistical data models, the method comprising:

receiving, using one or more processors, a statistical data model; and

updating, using the one or more processors, a model repository index structure such that;

when updating a main-type index structure, a new record is created and appended to the main-type index structure, the new record including the one or more model attributes, a model folder name, and an export time, and

when updating a tree-type index structure, a list is created using any splitting variables associated with the model, wherein a splitting variable is a predictor variable, wherein a predictor variable defines a group within a tree-type index structure, and wherein a new record is created and appended to the tree-type index structure, the new record including a model tree path name and the first splitting variable on the splitting variable list.

2. The method of claim 1, wherein the tree-type index structure is constructed using every splitting variable associated with a statistical data model in the model repository.

3. The method of claim 1, wherein the tree-type index structure has a corresponding mini-index structure, and wherein the mini-index structure is searched before the tree-type index structure is searched.

4. The method of claim 3, wherein each splitting variable can appear one or more times in the tree-type index structure, and wherein each splitting variable can appear only once in the mini-index structure.

5. The method of claim 1, wherein the one or more model attributes are assigned at the project level, the diagram level, or the model level.

6. A system for updating statistical data models in a model repository organized into three levels including a project level, a diagram level, and a model level, the model repository having one or more index structures, each index structure including one or more attributes associated with the statistical data models, the one or more attributes describing statistical data model components contained within the statistical data models, the system comprising:

one or more processors;

one or more computer-readable storage mediums containing instructions configured to cause the one or more processors to perform operations including;

receiving a statistical data model; and

updating a model repository index structure such that;

when updating a main-type index structure, a new record is created and appended to the main-type index structure, the new record including the one or more model attributes, a model folder name, and an export time, and

when updating a tree-type index structure, a list is created using any splitting variables associated with the model, wherein a splitting variable is a predictor variable, wherein a predictor variable defines a group within a tree-type index structure, and wherein a new record is created and appended to the tree-type index structure, the new record including a model tree path name and the first splitting variable on the splitting variable list.

7. The system of claim 6, wherein the tree-type index structure is constructed using every splitting variable associated with a statistical data model in the model repository.

8. The system of claim 6, wherein the tree-type index structure has a corresponding mini-index structure, and wherein the mini-index structure is searched before the tree-type index structure is searched.

9. The system of claim 8, wherein each splitting variable can appear one or more times in the tree-type index structure, and wherein each splitting variable can appear only once in the mini-index structure.

10. The system of claim 6, wherein the one or more model attributes are assigned at the project level, the diagram level, or the model level.

11. A computer-program product for updating statistical data models in a model repository organized into three levels including a project level, a diagram level, and a model level, the model repository having one or more index structures, each index structure including one or more attributes associated with the statistical data models, the one or more attributes describing statistical data model components contained within the statistical data models, the computer-program product being tangibly embodied in a machine-readable storage medium, and including instructions operable to cause a data processing apparatus to:

receive a statistical data model; and

update a model repository index structure such that;

when updating a main-type index structure, a new record is created and appended to the main-type index structure, the new record including the one or more model attributes, a model folder name, and an export time, and

when updating a tree-type index structure, a list is created using any splitting variables associated with the model, wherein a splitting variable is a predictor variable, wherein a predictor variable defines a group within a tree-type index structure, and wherein a new record is created and appended to the tree-type index structure, the new record including a model tree path name and the first splitting variable on the splitting variable list.

12. The computer-program product of claim 11, wherein the tree-type index structure is constructed using every splitting variable associated with a statistical data model in the model repository.

13. The computer-program product of claim 11, wherein the tree-type index structure has a corresponding mini-index structure, and wherein the mini-index structure is searched before the tree-type index structure is searched.

14. The computer-program product of claim 13, wherein each splitting variable can appear one or more times in the tree-type index structure, and wherein each splitting variable can appear only once in the mini-index structure.

15. The computer-program product of claim 11, wherein the one or more model attributes are assigned at the project level, the diagram level, or the model level.