DATA CLASSIFICATION USING MACHINE LEARNING TECHNIQUES

• US 20140207717A1
• Filed: 03/25/2014
• Published: 07/24/2014
• Est. Priority Date: 07/12/2006
• Status: Abandoned Application

• Current Assignee: Kofax Incorporated
• Original Assignee: Kofax Incorporated
• Inventors: Schmidtler, Mauritius A.R., Borrey, Roland G., Sarah, Anthony
• Application Number:
  US14/225,298
• Publication Number:
  US 20140207717A1
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 20/10 using kernel methods, e.g. support vector machines [SVM]
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/18 Legal services
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Systems, methods and computer program products for classifying documents are presented. Systems, methods and computer program products for analyzing documents, e.g. for verifying an association of an invoice with an entity are also presented. Systems, methods and computer program products for managing medical records are presented. One exemplary system includes a memory; and a processor in communication with the memory, the processor being configured to process at least some instructions stored in the memory. The memory stores computer executable program code comprising instructions for: training a classifier based on an invoice format associated with a first entity; accessing a plurality of invoices labeled as being associated with at least one of the first entity and other entities; and outputting an identifier of at least one of the invoices having a high probability of not being associated with the first entity.

Claims

1. A system for verifying an association of an invoice with an entity, comprising:

a memory; and

a processor in communication with the memory, the processor being configured to process at least some instructions stored in the memory,

wherein the memory stores computer executable program code comprising instructions for;

training a classifier based on an invoice format associated with a first entity;

accessing a plurality of invoices labeled as being associated with at least one of the first entity and other entities; and

outputting an identifier of at least one of the invoices having a high probability of not being associated with the first entity.

2. The product of claim 1, wherein the invoice format includes a physical layout of markings on the invoice.

3. The system of claim 1, further comprising:

performing a document classification technique on the invoices using the classifier.

4. The system of claim 3, wherein the document classification technique includes a transductive process.

5. The system of claim 4, wherein the invoice format includes a physical layout of markings on the invoice.

6. The system of claim 3, wherein the document classification technique includes a support vector machine process.

7. The system of claim 6, wherein the invoice format includes a physical layout of markings on the invoice.

8. The system of claim 3, wherein the document classification technique includes a maximum entropy discrimination process.

9. The system of claim 8, wherein the invoice format includes a physical layout of markings on the invoice.

10. A computer program product comprising a compute readable storage medium having stored thereon computer executable program code comprising instructions for:

training a classifier based on an invoice format associated with a first entity;

accessing a plurality of invoices labeled as being associated with at least one of the first entity and other entities; and

outputting an identifier of at least one of the invoices having a high probability of not being associated with the first entity.

11. The computer program product of claim 10, wherein the invoice format includes a physical layout of markings on the invoice.

12. The computer program product of claim 10, further comprising computer executable program code comprising instructions for:

performing a document classification technique on the invoices using the classifier.

13. The computer program product of claim 12, wherein the document classification technique includes a transductive process.

14. The computer program product of claim 13, wherein the invoice format includes a physical layout of markings on the invoice.

15. The computer program product of claim 12, wherein the document classification technique includes a support vector machine process.

16. The computer program product of claim 15, wherein the invoice format includes a physical layout of markings on the invoice.

17. The computer program product of claim 12, wherein the document classification technique includes a maximum entropy discrimination process.

18. The computer program product of claim 17, wherein the invoice format includes a physical layout of markings on the invoice.

19. A system for managing medical records, comprising:

a memory; and

a processor in communication with the memory, the processor being configured to process at least some instructions stored in the memory,

wherein the memory stores computer executable program code comprising instructions for;

training a classifier based on a medical diagnosis;

accessing a plurality of medical records; and

outputting an identifier of at least one of the medical records having a low probability of being associated with the medical diagnosis.

20. The system of claim 19, the memory further comprising computer executable program code comprising instructions for performing a document classification technique on the medical records using the classifier.

21. The system of claim 20, wherein the document classification technique includes a transductive process.

22. The system of claim 21, wherein the invoice format includes a physical layout of markings on at least one of the medical records.

23. The system of claim 20, wherein the document classification technique includes a support vector machine process.

24. The system of claim 23, wherein the invoice format includes a physical layout of markings on at least one of the medical records.

25. The system of claim 20, wherein the document classification technique includes a maximum entropy discrimination process.