US 12,468,945 B2
Method and system for performing noise removal and knowledge extraction to improve prediction model performance
Saurabh Jha, Austin, TX (US); and Kuruba Ajay Kumar, Anantapur (IN)
Assigned to DELL PRODUCTS L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Oct. 24, 2022, as Appl. No. 17/972,257.
Prior Publication US 2024/0135163 A1, Apr. 25, 2024
Prior Publication US 2024/0232608 A9, Jul. 11, 2024
Int. Cl. G06F 17/00 (2019.01); G06N 3/08 (2023.01); G06N 5/022 (2023.01)
CPC G06N 3/08 (2013.01) [G06N 5/022 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for performing knowledge extraction and noise removal for prediction models, comprising:
obtaining, by a prediction system, live tabular data;
in response to obtaining live tabular data:
performing data preprocessing on the live tabular data to generate processed live tabular data;
generating a knowledge vector based on the processed live tabular data using a dimensionality reduction model and a tabular attention model;
generating a prediction using a prediction model and the knowledge vector; and
providing the prediction to a client, wherein the client performs prediction processing using the prediction.