Patent · US Active

Automated data table discovery for automated machine learning

US11620550B2 · kind B2 · utility

0Cited by

0References

20Claims

0Family size

Assignee

International Business Machines Corporation · US

Inventors

Dakuo Wang · Cambridge, US
Mo Yu · White Plains, US
Arunima Chaudhary · Dehradun, IN
Chuang Gan · Cambridge, US
Qian Pan · Canton, US
Daniel Karl I. Weidele · Cambridge, US
Abel Valente · Dieciséis de Julio, AR
Ji Hui Yang · Beijing, CN

Key dates

Filing date	Aug 10, 2020
Grant date	Apr 4, 2023
Priority date	—
Expiry date	Sep 23, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Embodiments relate to a system, program product, and method for leveraging cognitive systems to facilitate the automated data table discovery for automated machine learning, and, more specifically, to leveraging a trained cognitive system to automatically search for additional data in an external data source that may be merged with an initial user-selected data table to generate a more robust machine learning model. Manual efforts to find and validate data appropriate for building and training a particular model for a particular task are significantly reduced. Specifically, a learning-based approach to leverage with machine learning models to automatically discover related datasets and join the datasets for a given initial dataset is disclosed herein. Operations that include dataset selection facilitate continued reinforcement learning of the systems.

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