Fair Isaac Corporation

Russell Anderson

Joseph P Milana

Larry Peranich

Paul Charles Dulany

Xuhui Shao

Ricardo M Dungca

Khosrow M Hassibi

James C Baker

Jason S Lenderman

Gordon Cameron

Craig Dillon

Richard Howe

Nicolaas A Van Goor

Sachin Sarnobat

Computer implemented methods and systems of processing transactions to determine the risk of transaction convert high categorical information, such as text data, to low categorical information, such as category or cluster IDs. The text data may be merchant names or other textual content of the transactions, or data related to a consumer, or any other type of entity which engages in the transaction. Content mining techniques are used to provide the conversion from high to low categorical information. In operation, the resulting low categorical information is input, along with other data, into a statistical model. The statistical model provides an output of the level of risk in the transaction. Methods of converting the high categorical information to low categorical clusters, of using such information, and other aspects of the use of such clusters are disclosed.

Detecting and measuring risk with predictive models using content mining

A computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling is disclosed. The present invention includes a method for using the Internet to obtain information, including, reading a data record stored in a field of data, searching a database for information describing the data record, condensing the information describing the data record into a value description, associating the value description with the data record, and augmenting the field of data with the value description associated with the data. The present invention also includes a computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling and data mining to conduct searches of data in the augmented database.

System and method for obtaining keyword descriptions of records from a large database

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Oceanside, CA, United States of America

Russell Anderson