Tamr, Inc.

Liam Cleary

Ihab Francis Ilyas

George Beskales

Paul Roome

John Kraemer

George Anwar Dany Beskales

Timothy Kwok Webber

Alan Benjamin Wagner Rodriguez

Dennis Cunningham

Given a number of records and a number of target classes to which these records belong to, a (weakly) supervised machine learning classification method leverages known possibly dirty classification rules, efficiently and accurately learns a classification model from training data, and applies the learned model to the data records to predict their classes.

Computer-implemented method for performing hierarchical classification

Methods are provided to represent proposed changes to clusterings for ease of review, as well as tools to help subject matter experts identify clusters that warrant review versus those that do not. These tools make overall assessment of proposed clustering changes and targeted curation practical at large scale. Use of these tools and method enables efficient data management operations when dealing with extreme scale, such as where entity resolution involves clusterings created from data sources involving millions of entities.

Review and curation of record clustering changes at large scale

Growing community of inventors

Dublin, Ireland

Liam Cleary