Improving Data Cleaning by Learning From Unstructured Textual Data

Improving Data Cleaning by Learning From Unstructured Textual Data

In data analysis, a significant amount of erroneous or incomplete data can hinder informed organizational decisions prompting the need for automated data cleaning. Leveraging successful artificial intelligence techniques across various domains, several initiatives have introduced machine learning mo...

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Bibliographic Details
Main Authors: Rihem Nasfi, Guy de Tre, Antoon Bronselaer
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Data cleaning
data quality
data constraints
machine learning
natural language processing
Online Access:https://ieeexplore.ieee.org/document/10896675/

Internet

https://ieeexplore.ieee.org/document/10896675/

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