Company Filing History:
Years Active: 2007-2009
Title: Luc De Bois: Innovator in Predictive Analysis and Document Relevance
Introduction
Luc De Bois is a notable inventor based in Courbevoie, France. He has made significant contributions to the fields of predictive analysis and document relevance estimation. With a total of 2 patents, his work has garnered attention for its innovative approaches to complex data challenges.
Latest Patents
Luc De Bois holds two recent patents that showcase his expertise. The first patent is titled "Method for estimating the relevance of a document with respect to a concept." This method involves calculating a relevance function based on a predetermined semantic neighborhood of the concept. It also includes an ambiguity function that assesses different meanings of the concept within the document. The process begins with detecting ambiguous concepts in a database.
The second patent is for a "System for predictive analysis of time series data flows." This system is designed for predicting values of digital data time flows associated with text information. It utilizes past values of the data flow and incorporates a weighted concept vector to enhance the accuracy of predictions.
Career Highlights
Luc De Bois is currently employed at France Telecom, where he applies his innovative ideas to real-world applications. His work at the company has allowed him to develop and refine his patented methods, contributing to advancements in data analysis and relevance estimation.
Collaborations
Throughout his career, Luc has collaborated with talented individuals such as Guillaume Allys and Stephane Martin. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Luc De Bois is a distinguished inventor whose work in predictive analysis and document relevance has made a significant impact in his field. His patents reflect a deep understanding of complex data systems and a commitment to innovation.