Celerina, Switzerland

Claudio Andrea Fanconi

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.2

ph-index = 1


Company Filing History:


Years Active: 2024

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations by Claudio Andrea Fanconi

Introduction

Claudio Andrea Fanconi is a notable inventor based in Celerina, Switzerland. He has made significant contributions to the field of data processing and graph theory, holding a total of two patents. His work focuses on enhancing the efficiency and quality of data representation and processing.

Latest Patents

Claudio's latest patents include a "Method and system for processing data records" and a "Method for weighting a graph." The first patent describes a method that involves providing a set of records, each with various attributes. Values of these attributes are input into a trained data representation learning model, which outputs feature vectors representing the records. These feature vectors are then stored for further use. The second patent outlines a method for weighting a graph that comprises nodes representing entities and edges representing relationships. This method includes pre-processing the graph by assigning weights to nodes and edges based on specific domains, indicating data quality problems related to the attributes.

Career Highlights

Claudio Andrea Fanconi is currently employed at the International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to leverage his expertise in data processing and graph theory to develop innovative solutions that address complex challenges in the industry.

Collaborations

Claudio has collaborated with several talented individuals, including Martin Oberhofer and Mike W Grasselt. These collaborations have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Claudio Andrea Fanconi's work exemplifies the intersection of innovation and technology in data processing. His patents reflect a commitment to improving data quality and representation, making significant strides in his field.

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