Patent · US Active

Active learning for data matching

US11409772B2 · kind B2 · utility

0Cited by

8References

20Claims

0Family size

Assignee

International Business Machines Corporation · US

Inventors

Lars Bremer · Hessenhöfe, DE
Utkarsh Bajpai · Hessenhöfe, DE
Martin Oberhofer · Nagold, DE
Alexandre Luz Xavier Da Costa · Stuttgart, DE

Key dates

Filing date	Apr 27, 2020
Grant date	Aug 9, 2022
Priority date	—
Expiry date	Nov 28, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N5/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method includes training a machine learning model using a current set of labeled data points. Each of the data points is multiple data records. A label of a data point indicates a classification of the data point. The training results in a trained machine learning model configured to classify a data point as representing a same entity or different entities. The method includes selecting a subset of unlabeled data points from a current set of unlabeled data points using classification results of the current set of unlabeled data points. The method includes providing the subset of unlabeled data points to a classifier and in response to providing receiving labels of the subset of unlabeled data points. The method may be repeated using the subset of labeled data points in addition to the current set of labeled data points as the current set of labeled data points.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.