William A Eginton, Age 67117 1St St, Sulphur Springs, IA 50588

6925441, Aug 2, 2005

Oct 27, 1997

08/958675

William A. Eginton - Philomont VA, US

Marketswitch Corp. - Dulles VA

G06F017/60

705 10, 705 14

A system and method of targeted marketing to consumers, including businesses and associates, based upon the financial characteristics of the consumer, type offer being made and the channel of communication for delivery of the offer. The consumer is characterized based upon financial, behavioral, and socioeconomic factors. The offer is characterized based upon the consumer and the potential for the consumer accepting the offer. The channel of communication for delivery of the offer is also characterized and combined with the consumer and consumer-offer characteristics to arrive at a net present value of the offer to be made. If the net present value is sufficient the offer is processed and presented to the consumer. If the net present value is not sufficient, the offer is revised to present a better value to the consumer (or discarded if the required offer value can not be created) thereby enhancing the chances that the consumer will accept the offer in question. In this way the system and method of the target marketing creates value in both releasing, and not releasing, specific offers.

8289884, Oct 16, 2012

Jan 14, 2009

12/353769

Vladimir Fishman - Farmington CT, US
William A. Eginton - Leesburg VA, US
Yuri Galperin - Herndon VA, US

Dulles Research LLC - Reston VA

G01R 31/08
G06F 11/00
G08C 15/00
H04J 1/16
H04J 3/14
H04L 1/00
H04L 12/26

370255, 370248, 370252, 717104, 717120, 717155, 717162, 702181

A method and system for identifying unknown illicit networks uses node data, link data, and network data in a recursive analysis that computes node probabilities by combining patterns based on nodes, links and the topology of the network structure present simultaneously in the data. An iterative balancing algorithm is used to make the probability values self-consistent.

2002005, May 2, 2002

Aug 30, 2001

09/942983

Yuri Galperin - Oak Hill VA, US
Vladimir Fishman - Farmington CT, US
William Eginton - Leesburg VA, US

G06F017/60

705/038000

A method and apparatus is disclosed for determining the prepayment propensity of individual borrowers. Early payment of debt instruments, such as loans and leases, can lead to losses being suffered by lenders. The present invention analyzes the demographics associated with a particular borrower to determine both the individual and group based prepayment propensity. The history of the borrower, the history of the borrower's demographic group, interest rate trends and other factors are then used to calculate a prepayment score that can be used by the lender to determine the propensity of a given borrower to prepay the instrument in question. The score of the individual borrower can be used to estimate the profitability of a debt instrument and allow the lender to make appropriate adjustments prior to issuing the instrument. The individual prepayment scores of a lender's or broker's clients can also be used to rate the lender or broker.

6185543, Feb 6, 2001

May 15, 1998

9/078867

Yuri Galperin - Reston VA
Vladimir Fishman - Farmington CT
William A. Eginton - Philomont VA
Charles L. Jones - Marblehead MA

MarketSwitch Corp. - Sterling VA

G06F 1760

705 38

A method and apparatus for determining the prepayment propensity of borrowers. Earlier payment of loans and particularly mortgage loans can lead to losses being suffered by lenders. The present invention analyzes the demographics associated with a particular borrower to determine both the individual and group based prepayment propensity. The history of the borrower, the history of the demographic group to which the borrower belongs, interest rate trends and other factors are then used to calculate a prepayment score that can be used by the lender to determine the propensity of a given borrower to prepay the loan in question. Where prepayment is a significant risk, inducements to the borrower to leave the loan in force can be made or the loan product can be adjusted to reflect the prepayment risk involved. Loan brokers can also be rated based upon the prepayment propensity of those borrowers who are clients of the broker. As with borrowers, a prepayment score can be attributed to a loan broker based upon the prepayment behavior of the brokers clients.