Constance, Germany

Felix Hamborg


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: Felix Hamborg: Innovator in Automated Cohort Generation

Introduction

Felix Hamborg is a notable inventor based in Constance, Germany. He has made significant contributions to the field of automated cohort generation through his innovative patent. His work focuses on enhancing the efficiency and accuracy of data analysis in various applications.

Latest Patents

Felix Hamborg holds a patent titled "Generating cohorts using automated weighting and multi-level ranking." This patent involves a sophisticated method of performing automated weighting that transforms the behavior of multiple dimensions of selected events into respective weights. The weights are determined based on the distribution of values for each dimension. The process 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 the weights and distances between the events. Ultimately, cohorts of further events are generated through multi-level ranking, which ranks groups based on similarity values and merges them to produce cohesive groups. The final cohorts are visualized in a graphical format, enhancing interpretability.

Career Highlights

Felix Hamborg is currently associated with Micro Focus LLC, where he applies his expertise in data analysis and cohort generation. His innovative approach has positioned him as a key player in the field, contributing to advancements in automated systems.

Collaborations

Felix has collaborated with notable colleagues, including Ming C Hao and Nelson L Chang. Their combined efforts have fostered a productive environment for innovation and development in their respective fields.

Conclusion

Felix Hamborg's contributions to automated cohort generation exemplify the impact of innovative thinking in technology. His patent and career achievements highlight the importance of collaboration and creativity in driving advancements in data analysis.

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