Tamr, Inc.

Alexandra V Batchelor

George Anwar Dany Beskales

Brian A Long

Nikolaus Bates-Haus

Pedro Giesemann Cattori

Record clustering is performed by learning from verified clusters which are used as the source of training data in a deduplication workflow utilizing supervised machine learning.

Method of using clusters to train supervised entity resolution in big data

A method is provided for producing a record clustering with estimated accuracy metrics with confidence intervals. These metrics can be used to determine whether a clustering should be accepted as the output of the system, and whether model training is necessary to meet desired clustering accuracy. A collection of test records is used in the process, wherein each test record is a member of a collection of input records.

Growing community of inventors

Cambridge, MA, United States of America

Alexandra V Batchelor