This inventor holds 1 USPTO granted patent. Top assignee: University of Delaware. Active years: 2002.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2002
Title: Kristen L Mello: Innovator in Data Processing and Analysis
Introduction
Kristen L Mello is a prominent inventor based in Newark, DE (US). She has made significant contributions to the field of data processing and analysis. Her innovative work focuses on discovering implicit relationships in data, which has applications across various domains.
Latest Patents
Kristen holds 1 patent for her invention titled "System for discovering implicit relationships in data and a method of using the same." This patent describes a data processing and analysis system designed to uncover implicit relationships within data. The method is executed in a computer system that can receive input data, including expert knowledge, empirical data, and user-defined constraints. The system performs necessary pre-processing, feature selection, and extraction on the input data. It generates a graphical representation of the implicit relationships, indicating connections between class variables and feature variables. Additionally, the system creates a classifier that provides a semantic and statistical justification for its classification results, including statistical relevancy and a sound decision theoretical foundation for classification thresholding.
Career Highlights
Kristen is affiliated with the University of Delaware, where she continues to advance her research and innovation in data analysis. Her work has garnered attention for its practical applications and contributions to the understanding of data relationships.
Collaborations
Kristen collaborates with Steven D Brown, enhancing her research efforts and expanding the impact of her work in the field.
Conclusion
Kristen L Mello is a trailblazer in the realm of data processing and analysis, with her innovative patent paving the way for future advancements in the field. Her contributions are invaluable to the understanding of implicit relationships in data.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
