US

David B Wheeler

 

Average Co-Inventor Count = 1.0

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Title: David B. Wheeler: Innovator in User Identity Fraud Detection

Introduction

David B. Wheeler is an accomplished inventor based in the United States. He has made significant contributions to the field of user identity fraud detection. His innovative approach utilizes advanced data searching techniques to enhance security measures.

Latest Patents

David B. Wheeler holds a patent for a system and method for determining user identity fraud using similarity searching. This invention employs profile searching to compare data from one data feed against another database. The goal is to identify similarities between the two sets of data. A new user profile data feed is transmitted to a similarity search engine batch search component. This data feed can originate from various sources, including Internet websites, relational databases, data entry systems, and hierarchical databases. The new user profile data feed serves as an anchor for the search component to perform a similarity search against hierarchical documents in a denied users profile database. Once the search is completed, a similarity search result set is returned. This result is then examined by a match component to determine if a profile match exists. If the results meet the specified profile match tolerance level, they are forwarded to the positive response component. Conversely, if the results do not meet the tolerance level, the new user profile is sent to the negative response component.

Career Highlights

David B. Wheeler is currently employed at Infoglide Software Corporation. His work focuses on developing innovative solutions to combat identity fraud. His expertise in data searching and analysis has positioned him as a key player in the field.

Collaborations

Some of his notable coworkers include John R. Ripley and Paul Leury. Their collaborative efforts contribute to the advancement of technology in user identity verification.

Conclusion

David B. Wheeler is a notable inventor whose work in user identity fraud detection has the potential to significantly enhance security measures. His innovative methods and collaboration with talented colleagues continue to drive advancements in this critical field.

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