South Portland, ME, United States of America

Richard J Diekema, Jr


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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4 patents (USPTO):Explore Patents

Title: Inventor Spotlight: Richard J. Diekema, Jr.

Introduction

Richard J. Diekema, Jr. is an accomplished inventor based in South Portland, Maine, recognized for his significant contributions to the field of data matching technologies. With a total of four patents to his name, Diekema has developed innovative solutions that enhance data processing and retrieval systems.

Latest Patents

Among his recent patents, one of the most notable is the algorithm for the non-exact matching of large datasets. This invention describes a two-step algorithm that allows for near real-time fuzzy searches across one or more large data sets. The process begins with simplifying the data by removing grammatical constructs to distill the target search term and stored database to their base elements. Following this, a Levenshtein comparison is conducted to generate a subset of potential matches. The algorithm further employs a scoring mechanism to compare the target against this subset, effectively identifying any possible matches.

Career Highlights

Richard Diekema, Jr. is currently employed at Bottomline Technologies Limited, where he applies his expertise to advance the company's capabilities in data management and analytics. His innovative work in algorithm development positions him as a valuable asset within the technology sector.

Collaborations

Throughout his career, Diekema has collaborated with talented professionals, including colleagues Mark G. Kane and Kaiyu Pan. These collaborations have undoubtedly contributed to the development of advanced technological solutions within their field.

Conclusion

Richard J. Diekema, Jr.'s inventive spirit and dedication to solving complex problems through innovative algorithms make him a prominent figure in the realm of technology. His contributions not only enhance data matching capabilities but also pave the way for future advancements in the industry.

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