Plano, TX, United States of America

Justin Aaron Scaggs

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Justin Aaron Scaggs: Innovator in Automated Weighting and Multi-Level Ranking

Introduction

Justin Aaron Scaggs is an accomplished inventor based in Plano, TX (US). He has made significant contributions to the field of automated weighting and multi-level ranking through his innovative patent. His work focuses on generating cohorts using advanced methodologies that enhance data analysis and visualization.

Latest Patents

Justin holds a patent titled "Generating cohorts using automated weighting and multi-level ranking." This patent involves a sophisticated process where automated weighting is performed by transforming the behavior of various dimensions of selected events into respective weights. The weights are determined based on the distribution of values for each dimension. The methodology includes computing similarity values that indicate the similarities between further events and the selected group of events. These values are based on a combination of weights and distances, leading to the generation of cohorts through multi-level ranking and graphical visualization.

Career Highlights

Justin is currently employed at Micro Focus LLC, where he applies his expertise in data analysis and cohort generation. His innovative approach has positioned him as a valuable asset in his field. With a focus on enhancing the efficiency of data processing, he continues to push the boundaries of what is possible in automated systems.

Collaborations

Some of Justin's notable coworkers include Ming C. Hao and Nelson L. Chang. Their collaborative efforts contribute to the advancement of technology and innovation within their organization.

Conclusion

Justin Aaron Scaggs exemplifies the spirit of innovation through his work in automated weighting and multi-level ranking. His contributions are paving the way for more efficient data analysis and visualization techniques.

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