Mountain View, CA, United States of America

Kevin John Lang

USPTO Granted Patents = 7 

Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 20(Granted Patents)


Company Filing History:


Years Active: 2010-2016

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7 patents (USPTO):

Title: Kevin John Lang: Innovator in Computational Methods

Introduction

Kevin John Lang is a prominent inventor based in Mountain View, California. He has made significant contributions to the field of computation, holding a total of seven patents. His work focuses on enhancing the efficiency and accuracy of data analytics through innovative methods and systems.

Latest Patents

One of Lang's latest patents is titled "Computation through array decomposition." This patent discloses methods and systems capable of implementing an advertising audience overlap analysis dashboard. This system can analyze an audience exceeding 100 million users and more than 10,000 user groups, computing an exact count of user overlap among these groups in less than two hours. Another notable patent is "System and method for performing set operations with defined sketch accuracy distribution." This patent provides techniques for improving the speed and accuracy of analytics on big data using theta sketches. It involves converting fixed-size sketches to theta sketches and performing set operations on them to estimate the cardinality of larger data sets.

Career Highlights

Kevin John Lang is currently employed at Yahoo! Inc., where he continues to innovate in the field of computational methods. His work has had a significant impact on how data is analyzed and utilized in various applications.

Collaborations

Lang has collaborated with notable coworkers, including Lee Rhodes and Anirban Dasgupta, contributing to the advancement of technology in his field.

Conclusion

Kevin John Lang is a distinguished inventor whose work in computational methods has led to significant advancements in data analytics. His innovative patents reflect his commitment to improving the efficiency and accuracy of big data analysis.

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