Neural network module for data mining

• US 7,069,256 B1
• Filed: 05/23/2002
• Issued: 06/27/2006
• Est. Priority Date: 05/23/2002
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Campos, Marcos M.
• Primary Examiner(s): DAVIS, GEORGE B
• Application Number:
  US10/152,731
• Time in Patent Office: 1,496 Days
• Field of Search: 706/16, 706/25
• US Class Current: 706/16
• CPC Class Codes: G06F 16/2425 Iterative querying; Query formulation based on the results of a preceding query
• CPC Class Codes: G06F 16/2457 with adaptation to user needs
• CPC Class Codes: G06N 3/02 Neural networks

Abstract

A system, software module, and computer program product for performing neural network based data mining that improved performance in model building, good integration with the various databases throughout the enterprise, flexible specification and adjustment of the models being built, and flexible model arrangement and export capability. The software module for performing neural network based data mining in an electronic data processing system comprises: a model setup block operable to receive client input including information specifying a setup of a neural network data mining models, generate the model setup, generate parameters for the model setup based on the received information, a modeling algorithms block operable to select and initialize a neural network modeling algorithm based on the generated model setup, a model building block operable to receive training data and build a neural network model using the training data and the selected neural network modeling algorithm and a model scoring block operable to receive scoring data and generate predictions and/or recommendations using the scoring data and the neural network model.

Claims

1. A software module for performing a neural network based data mining in an electronic data processing system comprising:

a model setup block operable to receive client input including information specifying a setup of a neural network data mining model, generate the model setup, generate parameters for the model setup based on the received information;

a modeling algorithms block operable to select and initialize a neural network modeling algorithm based on the generated model setup;

a model building block operable to receive training data and build a neural network model using the training data and the selected neural network modeling algorithm; and

a model scoring block operable to receive scoring data and generate predictions and/or recommendations using the scoring data and the neural network model.

2. The software module of claim 1, further comprising:

a data preprocessing block operable to receive the training data, process the received training data, and transmit the processed training data to the model building block.

3. The software module of claim 2, wherein the processing performed by the data preprocessing block comprises normalization of data and/or binning of continuous data into categories.

4. The software module of claim 2, further comprising:

a model integration block operable to integrate the neural network model with scoring data.

5. The software module of claim 4, further comprising:

a model analysis block operable to statistically analyze the neural network model.

6. The software module of claim 5, further comprising:

a status monitoring block operable to monitor a model-building progress of the model building block and output notification of the model-building progress of the model building block.

7. The software module of claim 6, wherein the model building block is further operable to monitor the client input for an interrupt.

8. The software module of claim 7, wherein the model building block is further operable to, in response to receiving an interrupt, abort the model build or checkpoint the model build.

9. The software module of claim 6, wherein the model building block is further operable to periodically checkpoint a model build.

10. A computer program product for performing a neural network based data mining in an electronic data processing system, comprising:

a computer readable medium;

computer program instructions, recorded on the computer readable medium, executable by a processor, for implementing a software module comprising;

a model setup block operable to receive client input including information specifying a setup of a neural network data mining model, generate the model setup, generate parameters for the model setup based on the received information;

a modeling algorithms block operable to select and initialize a neural network modeling algorithm based on the generated model setup;

a model building block operable to receive training data and build a neural network model using the training data and the selected neural network modeling algorithm; and

a model scoring block operable to receive scoring data and generate predictions and/or recommendations using the scoring data and the neural network model.

11. The computer program product of claim 10, further comprising:

a data preprocessing block operable to receive the training data, process the received training data, and transmit the processed training data to the model building block.

12. The computer program product of claim 11, wherein the processing performed by the data preprocessing block comprises normalization of data and/or binning of continuous data into categories.

13. The computer program product of claim 11, further comprising:

a model integration block operable to integrate the neural network model with scoring data.

14. The computer program product of claim 13, further comprising:

a model analysis block operable to statistically analyze the neural network model.

15. The computer program product of claim 14, further comprising:

a status monitoring block operable to monitor a model-building progress of the model building block and output notification of the model-building progress of the model building block.

16. The computer program product of claim 15, where in the model building block is further operable to monitor the client input for an interrupt.

17. The computer program product of claim 16, wherein the model building block is further operable to, in response to receiving an interrupt, abort the model build or checkpoint the model build.

18. The computer program product of claim 17, wherein the model building block is further operable to periodically checkpoint a model build.

19. A system for performing a neural network based data mining comprising:

a processor operable to execute computer program instructions; and

a memory operable to store computer program instructions executable by the processor, the computer program instructions comprising a software module comprising;

a model setup block operable to receive client input including information specifying a setup of a neural network data mining model, generate the model setup, generate parameters for the model setup based on the received information;

a modeling algorithms block operable to select and initialize a neural network modeling algorithm based on the generated model setup;

a model building block operable to receive training data and build a neural network model using the training data and the selected neural network modeling algorithm; and

a model scoring block operable to receive scoring data and generate predictions and/or recommendations using the scoring data and the neural network model.

20. The system of claim 19, wherein the software module further comprises:

a data preprocessing block operable to receive the training data, process the received training data, and transmit the processed training data to the model building block.

21. The system of claim 20, wherein the processing performed by the data preprocessing block comprises normalization of data and/or binning of continuous data into categories.

22. The system of claim 20, wherein the software module further comprises:

a model integration block operable to integrate the neural network model with scoring data.

23. The system of claim 22, wherein the software module further comprises:

a model analysis block operable to statistically analyze the neural network model.

24. The system of claim 23, wherein the software module further comprises:

a status monitoring block operable to monitor a model-building progress of the model building block and output notification of the model-building progress of the model building block.

25. The system of claim 24, wherein the model building block is further operable to monitor the client input for an interrupt.

26. The system of claim 25, wherein the model building block is further operable to, in response to receiving an interrupt, abort the model build or checkpoint the model build.

27. The system of claim 26, wherein the model building block is further operable to periodically checkpoint a model build.