Data Imputation Based on Retrieval-Augmented Generation

Data Imputation Based on Retrieval-Augmented Generation

Modern organizations collect increasing volumes of data to drive decision-making, often stored in centralized repositories such as data lakes, which consist of diverse structured and unstructured datasets. However, these repositories often suffer from issues such as incomplete, inconsistent, and low...

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Bibliographic Details
Main Authors: Xiaojun Shi, Jiacheng Wang, Gregorius Justin Chung, Derick Julian, Lianpeng Qiao
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
retrieval-augmented generation
data imputation
data mining
Online Access:https://www.mdpi.com/2076-3417/15/13/7371
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