Data analytics models for loan treatment
US8458074B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 30, 2010 |
| Grant date | Jun 4, 2013 |
| Priority date | — |
| Expiry date | Jan 23, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/06
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Data analytics are provided in loan treatment. Various sources of data may be used to optimize or predict value for a loan. Using machine-learning and/or statistical analysis, loans or treatment best suited for a particular borrower may be determined. Due to the large amounts of data available, borrower behavior may be learned from previous behavior of others and mapped to a predictive model. Machine-learning indicates the most relevant factors in loan treatment, providing a matrix for predicting loan value or treatment success. A given borrower may be classified into one of many classes of borrower based on credit information, property information, desired loan information, real estate market information, and/or other data. Tens, hundreds, or even thousands of variables may be used to predict the optimum treatment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.