Geoffrey G Zweig

Title: Geoffrey G. Zweig: Innovator in Data Clustering Technologies

Introduction

Geoffrey G. Zweig is a notable inventor based in Oakland, CA, who has made significant contributions to the field of data clustering technologies. With a total of 2 patents to his name, Zweig's work focuses on methods that enhance the understanding and organization of data objects.

Latest Patents

Zweig's latest patents include a computer-implemented method for clustering closely resembling data objects, such as web pages. This innovative method involves partitioning each data object into a sequence of tokens, which are then grouped into overlapping sets known as shingles. Each shingle is represented by a unique identification element encoded as a fingerprint. The process selects a minimum element from each of the images of the set of fingerprints associated with a document under various pseudo-random permutations. This generates a sketch of each data object, characterizing their resemblance. The sketches can be further partitioned into multiple groups, with each group fingerprinted to form a feature. Data objects that share a significant number of features are estimated to be nearly identical.

Career Highlights

Throughout his career, Geoffrey G. Zweig has worked with prominent companies, including Digital Equipment Corporation and Alta Vista Company. His experience in these organizations has contributed to his expertise in data clustering and analysis.

Collaborations

Zweig has collaborated with notable individuals in the field, including Andrei Z. Broder and Steven Charles Glassman. These collaborations have further enriched his work and innovations.

Conclusion

Geoffrey G. Zweig's contributions to data clustering technologies demonstrate his innovative spirit and expertise in the field. His patents reflect a deep understanding of data organization, making significant strides in how we analyze and interpret data objects.