Method and system for predicting property values within discrete finite market elements

• US 20120072357A1
• Filed: 09/22/2010
• Published: 03/22/2012
• Est. Priority Date: 09/22/2010
• Status: Abandoned Application

• Current Assignee: Bradford Technologies, Inc.
• Original Assignee: Bradford Technologies, Inc.
• Inventors: Bradford, Jeffery Joseph, Linne, Mark Randall
• Application Number:
  US12/888,397
• Publication Number:
  US 20120072357A1
• Time in Patent Office: Days
• US Class Current: 705/306
• CPC Class Codes: G06Q 30/0278 Product appraisal
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 50/16 Real estate

Abstract

Methods, systems and computer-readable medium for enabling improved market value and sales price calculations are provided. In one case, a plurality of data sets are analyzed by a computer to derive a predictive equation. Each data set contains (a.) a sales price of a particular real property; and (b.) a plurality of quantitative parameters of qualities and conditions related to or descriptive of that particular real property. A human analyst then reviews the predictive equation and may modify the equation in light of the analyst'"'"'s personal knowledge or research of a geographic area or neighborhood comprising the real properties of the data sets. The modified equation may only be applied to a geographic area associated with the human analyst. The invented method may be applied to forecasting and valuations in general, wherein a general valuation equation is computationally generated and an analyst modifies the equation.

Claims

1. A method of applying human expertise to adapt a valuation equation, the method comprising:

a. Directing a computer to generate a valuation equation from an automated analysis of a plurality of values, wherein each value is related to one of a second plurality of paired coefficients and parameters, wherein each pair of a coefficient and a parameter is multiplied together and the resultants are summed to equal the associated value;

b. Providing the plurality of coefficients to a human analyst;

c. Forming an adapted plurality of coefficients by accepting from the human analyst an adaptation of at least one coefficient; and

d. Deriving a value from a set of parameters by applying the valuation equation with the adapted plurality of coefficients.

2. The method of claim 1, wherein the valuation is a predicted sales price of a real property.

3. The method of claim 2, wherein the adaptation of the at least one coefficient includes setting the coefficient to a zero value.

4. The method of claim 2, wherein the adaptation of the at least one coefficient includes adding a new coefficient for operation with an additional parameter.

5. The method of claim 4, wherein the adaptation of the at least one coefficient includes a binary mathematical operation applied with the at least one coefficient and the additional parameter and the binary mathematical operation is selected from the mathematical operation group consisting of division, subtraction, integration, squaring, cubing, and derivation of a root value of the parameter.

6. The method of claim 1, wherein the set of parameters are all associable with a class of real property.

7. The method of claim 1, wherein the human analyst directs the computer to select the plurality of assigned values from an area of contiguous real property.

8. The method of claim 4, wherein the human analyst defines the area of contiguous real property means of a graphical user interface applied to a representation of geography.

9. The method of claim 4, wherein at least one assigned value is associated with a real property comprising a dwelling.

10. The method of claim 1, wherein the adapted plurality of coefficients are applied to a second set of parameters to generate a second value determination.

11. The method of claim 1, wherein the value includes a quantitative contribution of a binary mathematical operation applied with at least one coefficient and parameter pair and the binary mathematical operation is selected from the mathematical operation group consisting of division, subtraction, integration, squaring, cubing, and derivation of a root value of the parameter.

12. A method comprising:

a. Defining a sales price predictive valuation equation derived from a plurality of real estate valuations, the sales price valuation equation specifying at least two coefficients that are each related to a separate quality of real property;

b. Associating the valuation equation with a geographic area;

c. Providing the sales price valuation equation to a human analyst;

d. Enabling the human analyst to modify the valuation equation;

e. Applying a modification of the sales price valuation equation by the human analyst; and

f. Providing the modified sales price valuation equation to another party.

13. The method of claim 12, wherein the valuation equation is at least partially derived by regression analysis.

14. The method of claim 12, wherein the valuation equation is at least partially derived by a valuation equation generation method selected from the group consisting of regression analysis;

Bayesian linear regression;

least absolute deviations;

quantile regression;

finite element analysis and modeling;

nonparametric regression;

distance metric learning; and

the Monte Carlo simulation method

15. The method of claim 12, wherein the valuation equation is modified by the human analyst changing a coefficient value of the valuation equation.

16. The method of claim 12, wherein the valuation equation is modified by the human analyst changing a mathematical operation of a coefficient of the valuation equation with a parameter of the valuation equation.

17. The method of claim 12, wherein the human analyst is provided with a data set prior to the modification of the valuation equation, the data set related to a real property located within the geography, the data set comprising a plurality of data applicable with the sales price valuation equation to generate a predicted sales price of the real property.

18. The method of claim 12, wherein the valuation equation is provided to the human analyst by means of an electronic communications network.

19. The method of claim 12, wherein the valuation equation is provided to the human analyst via the Internet.

20. A system for predicting real estate valuations, comprising:

a. A predictive model associated with a geography and for generating a real estate valuation; and

b. Means to enable the human analyst to modify the predictive model computation as applied to predictive sales price valuations of real property located within the geography.

21. The system of claim 20, wherein the predictive model is computationally derived by a valuation equation generation method selected from the group consisting of regression analysis;

Bayesian linear regression;

least absolute deviations;

quantile regression;

finite element analysis and modeling;

nonparametric regression;

distance metric learning; and

the Monte Carlo simulation method.

22. The system of claim 20, wherein the system is accessible via an electronics communications network for use in generating predicted sales prices of real property located within the geography.

23. The system of claim 20, wherein the electronics communications network comprises the Internet.