Method of building predictive models on transactional data

US6873979B2 · kind B2 · utility

Assignee

• Marketswitch Corporation · US

Inventors

• Vladimir Fishman · Farmington, US
• Yuri Galperin · Reston, US
• Anatoly Reynberg · Hartford, US

Key dates

• Filing date: Feb 28, 2001
• Grant date: Mar 29, 2005
• Expiry date: Dec 28, 2022

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q99/00
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A method of building predictive statistical models provides a dedicated aggregation module for each transactional record source. Each aggregation module aggregates the transactional records using a neural network function to produce a scalar output which can then be input to a traditional modeling function, which may employ either logistic regression, neural network, or radial basis function techniques. The output of the aggregation modules can be saved, and updated aggregation values can be updated by processing new transaction records and combining the new transaction values with the previous output values using a blending function. Parameters of the neural network in the aggregation module may be calculated simultaneously with the parameters of the traditional modeling module.