International Business Machines Corporation

Carolina Maria Spina

Chuang Gan

Dakuo Wang

Lisa Amini

Horst Cornelius Samulowitz

Abel Nicolas Valente

Udayan Khurana

Daniel Karl I Weidele

Arunima Chaudhary

A dataset including features and values associated with the features can be received. Each of the features in the dataset can be mapped to a corresponding node in a knowledge graph based on the concept represented by the corresponding node. The knowledge graph can be traversed to find a candidate node connected to at least one mapped node, the candidate node not being mapped to a feature in the dataset. A concept associated with the candidate node can be identified as a new feature. A machine learning model pipeline can use the features in the dataset and the new feature to select a subset of features for training a machine learning model.

Interactive feature engineering in automatic machine learning with domain knowledge

Growing community of inventors

Olavarria, Argentina

Carolina Maria Spina